Overview

Dataset statistics

Number of variables100
Number of observations80000
Missing cells36101
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.0 MiB
Average record size in memory800.0 B

Variable types

Numeric95
Categorical5

Alerts

f33 has constant value "0" Constant
f34 has constant value "0" Constant
f35 has constant value "0" Constant
f37 has constant value "0" Constant
f38 has constant value "0" Constant
f1 is highly correlated with f4 and 8 other fieldsHigh correlation
f2 is highly correlated with f73High correlation
f4 is highly correlated with f1 and 10 other fieldsHigh correlation
f7 is highly correlated with f78 and 9 other fieldsHigh correlation
f9 is highly correlated with f1 and 9 other fieldsHigh correlation
f10 is highly correlated with f1 and 9 other fieldsHigh correlation
f13 is highly correlated with f67 and 1 other fieldsHigh correlation
f14 is highly correlated with f15 and 25 other fieldsHigh correlation
f15 is highly correlated with f14 and 25 other fieldsHigh correlation
f17 is highly correlated with f14 and 26 other fieldsHigh correlation
f18 is highly correlated with f14 and 28 other fieldsHigh correlation
f19 is highly correlated with f18 and 7 other fieldsHigh correlation
f20 is highly correlated with f14 and 25 other fieldsHigh correlation
f21 is highly correlated with f14 and 24 other fieldsHigh correlation
f22 is highly correlated with f14 and 25 other fieldsHigh correlation
f23 is highly correlated with f1 and 6 other fieldsHigh correlation
f24 is highly correlated with f14 and 25 other fieldsHigh correlation
f25 is highly correlated with f26 and 7 other fieldsHigh correlation
f26 is highly correlated with f19 and 4 other fieldsHigh correlation
f27 is highly correlated with f14 and 22 other fieldsHigh correlation
f28 is highly correlated with f14 and 22 other fieldsHigh correlation
f29 is highly correlated with f14 and 22 other fieldsHigh correlation
f30 is highly correlated with f14 and 22 other fieldsHigh correlation
f31 is highly correlated with f19 and 4 other fieldsHigh correlation
f32 is highly correlated with f14 and 23 other fieldsHigh correlation
f36 is highly correlated with f42 and 5 other fieldsHigh correlation
f39 is highly correlated with f1 and 36 other fieldsHigh correlation
f40 is highly correlated with f14 and 30 other fieldsHigh correlation
f41 is highly correlated with f1 and 28 other fieldsHigh correlation
f42 is highly correlated with f36 and 5 other fieldsHigh correlation
f43 is highly correlated with f1 and 8 other fieldsHigh correlation
f44 is highly correlated with f54High correlation
f45 is highly correlated with f14 and 28 other fieldsHigh correlation
f46 is highly correlated with f14 and 26 other fieldsHigh correlation
f47 is highly correlated with f14 and 25 other fieldsHigh correlation
f48 is highly correlated with f36 and 5 other fieldsHigh correlation
f49 is highly correlated with f14 and 30 other fieldsHigh correlation
f50 is highly correlated with f14 and 26 other fieldsHigh correlation
f51 is highly correlated with f4 and 28 other fieldsHigh correlation
f52 is highly correlated with f36 and 5 other fieldsHigh correlation
f53 is highly correlated with f1 and 14 other fieldsHigh correlation
f54 is highly correlated with f44High correlation
f55 is highly correlated with f18 and 10 other fieldsHigh correlation
f56 is highly correlated with f18 and 7 other fieldsHigh correlation
f57 is highly correlated with f19 and 10 other fieldsHigh correlation
f58 is highly correlated with f36 and 5 other fieldsHigh correlation
f59 is highly correlated with f14 and 28 other fieldsHigh correlation
f60 is highly correlated with f14 and 26 other fieldsHigh correlation
f61 is highly correlated with f4 and 25 other fieldsHigh correlation
f62 is highly correlated with f36 and 5 other fieldsHigh correlation
f63 is highly correlated with f14 and 27 other fieldsHigh correlation
f64 is highly correlated with f14 and 25 other fieldsHigh correlation
f65 is highly correlated with f17 and 17 other fieldsHigh correlation
f66 is highly correlated with f1 and 15 other fieldsHigh correlation
f67 is highly correlated with f13 and 1 other fieldsHigh correlation
f68 is highly correlated with f13 and 1 other fieldsHigh correlation
f69 is highly correlated with f70High correlation
f70 is highly correlated with f69High correlation
f73 is highly correlated with f2High correlation
f74 is highly correlated with f36 and 5 other fieldsHigh correlation
f75 is highly correlated with f76High correlation
f76 is highly correlated with f75High correlation
f77 is highly correlated with f84 and 10 other fieldsHigh correlation
f78 is highly correlated with f7 and 9 other fieldsHigh correlation
f79 is highly correlated with f7 and 9 other fieldsHigh correlation
f80 is highly correlated with f81High correlation
f81 is highly correlated with f80High correlation
f82 is highly correlated with f83High correlation
f83 is highly correlated with f82High correlation
f84 is highly correlated with f77 and 14 other fieldsHigh correlation
f85 is highly correlated with f7 and 16 other fieldsHigh correlation
f86 is highly correlated with f7 and 16 other fieldsHigh correlation
f87 is highly correlated with f7 and 16 other fieldsHigh correlation
f88 is highly correlated with f7 and 16 other fieldsHigh correlation
f89 is highly correlated with f77 and 14 other fieldsHigh correlation
f90 is highly correlated with f77 and 14 other fieldsHigh correlation
f91 is highly correlated with f77 and 14 other fieldsHigh correlation
f92 is highly correlated with f93High correlation
f93 is highly correlated with f92High correlation
f94 is highly correlated with f77 and 14 other fieldsHigh correlation
f95 is highly correlated with f7 and 15 other fieldsHigh correlation
f96 is highly correlated with f7 and 15 other fieldsHigh correlation
f97 is highly correlated with f7 and 15 other fieldsHigh correlation
f98 is highly correlated with f7 and 15 other fieldsHigh correlation
f99 is highly correlated with f77 and 6 other fieldsHigh correlation
f100 is highly correlated with f77 and 14 other fieldsHigh correlation
f21 has 1435 (1.8%) missing values Missing
f22 has 1310 (1.6%) missing values Missing
f32 has 2136 (2.7%) missing values Missing
f45 has 1627 (2.0%) missing values Missing
f46 has 1627 (2.0%) missing values Missing
f59 has 1455 (1.8%) missing values Missing
f60 has 1455 (1.8%) missing values Missing
f63 has 932 (1.2%) missing values Missing
f64 has 932 (1.2%) missing values Missing
f72 has 6881 (8.6%) missing values Missing
f90 has 1345 (1.7%) missing values Missing
f91 has 1345 (1.7%) missing values Missing
f100 has 1262 (1.6%) missing values Missing
id is uniformly distributed Uniform
id has unique values Unique
f14 has 7940 (9.9%) zeros Zeros
f15 has 7985 (10.0%) zeros Zeros
f17 has 7908 (9.9%) zeros Zeros
f18 has 8006 (10.0%) zeros Zeros
f20 has 7661 (9.6%) zeros Zeros
f21 has 6780 (8.5%) zeros Zeros
f22 has 6941 (8.7%) zeros Zeros
f24 has 8029 (10.0%) zeros Zeros
f25 has 7039 (8.8%) zeros Zeros
f27 has 8029 (10.0%) zeros Zeros
f28 has 8029 (10.0%) zeros Zeros
f29 has 8029 (10.0%) zeros Zeros
f30 has 8029 (10.0%) zeros Zeros
f32 has 3974 (5.0%) zeros Zeros
f40 has 1679 (2.1%) zeros Zeros
f50 has 1529 (1.9%) zeros Zeros
f69 has 8186 (10.2%) zeros Zeros
f70 has 8856 (11.1%) zeros Zeros
f71 has 864 (1.1%) zeros Zeros
f72 has 2084 (2.6%) zeros Zeros
f82 has 1076 (1.3%) zeros Zeros
f83 has 59080 (73.9%) zeros Zeros
f84 has 1194 (1.5%) zeros Zeros
f85 has 1194 (1.5%) zeros Zeros
f86 has 1194 (1.5%) zeros Zeros
f87 has 1194 (1.5%) zeros Zeros
f88 has 1194 (1.5%) zeros Zeros
f89 has 1197 (1.5%) zeros Zeros
f92 has 994 (1.2%) zeros Zeros
f93 has 58919 (73.6%) zeros Zeros
f94 has 1106 (1.4%) zeros Zeros
f95 has 1106 (1.4%) zeros Zeros
f96 has 1106 (1.4%) zeros Zeros
f97 has 1106 (1.4%) zeros Zeros
f98 has 1106 (1.4%) zeros Zeros
f99 has 1114 (1.4%) zeros Zeros
loss has 72703 (90.9%) zeros Zeros

Reproduction

Analysis started2021-10-14 10:20:08.547759
Analysis finished2021-10-14 10:20:12.850187
Duration4.3 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct80000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40000.5
Minimum1
Maximum80000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:12.939981image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4000.95
Q120000.75
median40000.5
Q360000.25
95-th percentile76000.05
Maximum80000
Range79999
Interquartile range (IQR)39999.5

Descriptive statistics

Standard deviation23094.1551
Coefficient of variation (CV)0.5773466608
Kurtosis-1.2
Mean40000.5
Median Absolute Deviation (MAD)20000
Skewness0
Sum3200040000
Variance533340000
MonotonicityStrictly increasing
2021-10-14T12:20:13.085208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
< 0.1%
533311
 
< 0.1%
533381
 
< 0.1%
533371
 
< 0.1%
533361
 
< 0.1%
533351
 
< 0.1%
533341
 
< 0.1%
533331
 
< 0.1%
533321
 
< 0.1%
533301
 
< 0.1%
Other values (79990)79990
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
800001
< 0.1%
799991
< 0.1%
799981
< 0.1%
799971
< 0.1%
799961
< 0.1%
799951
< 0.1%
799941
< 0.1%
799931
< 0.1%
799921
< 0.1%
799911
< 0.1%

f1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.6074625
Minimum103
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:13.188303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum103
5-th percentile116
Q1124
median130
Q3150
95-th percentile162
Maximum176
Range73
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.12083446
Coefficient of variation (CV)0.1115044422
Kurtosis-1.05211678
Mean135.6074625
Median Absolute Deviation (MAD)9
Skewness0.4822393195
Sum10848597
Variance228.6396348
MonotonicityNot monotonic
2021-10-14T12:20:13.293987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1264192
 
5.2%
1244004
 
5.0%
1293980
 
5.0%
1303019
 
3.8%
1282897
 
3.6%
1252863
 
3.6%
1232794
 
3.5%
1272612
 
3.3%
1212515
 
3.1%
1522503
 
3.1%
Other values (64)48621
60.8%
ValueCountFrequency (%)
10328
 
< 0.1%
1048
 
< 0.1%
10525
 
< 0.1%
10620
 
< 0.1%
10774
 
0.1%
10838
 
< 0.1%
109158
0.2%
110169
0.2%
111287
0.4%
112345
0.4%
ValueCountFrequency (%)
1766
 
< 0.1%
1752
 
< 0.1%
1746
 
< 0.1%
17312
 
< 0.1%
1729
 
< 0.1%
17122
 
< 0.1%
17018
 
< 0.1%
16929
 
< 0.1%
168123
0.2%
16749
 
0.1%

f2
Real number (ℝ≥0)

HIGH CORRELATION

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2212625
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:13.377166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median8
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.713816536
Coefficient of variation (CV)0.2084614786
Kurtosis3.663309854
Mean8.2212625
Median Absolute Deviation (MAD)1
Skewness-1.654300832
Sum657701
Variance2.937167121
MonotonicityNot monotonic
2021-10-14T12:20:13.434218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
921911
27.4%
821758
27.2%
1017755
22.2%
78815
11.0%
65274
 
6.6%
41715
 
2.1%
31014
 
1.3%
2819
 
1.0%
1633
 
0.8%
11306
 
0.4%
ValueCountFrequency (%)
1633
 
0.8%
2819
 
1.0%
31014
 
1.3%
41715
 
2.1%
65274
 
6.6%
78815
11.0%
821758
27.2%
921911
27.4%
1017755
22.2%
11306
 
0.4%
ValueCountFrequency (%)
11306
 
0.4%
1017755
22.2%
921911
27.4%
821758
27.2%
78815
11.0%
65274
 
6.6%
41715
 
2.1%
31014
 
1.3%
2819
 
1.0%
1633
 
0.8%

f3
Real number (ℝ≥0)

Distinct79862
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.499020209
Minimum9.313 × 10-6
Maximum0.999993798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:13.513299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum9.313 × 10-6
5-th percentile0.05080891335
Q10.2493823855
median0.4973929985
Q30.7497937288
95-th percentile0.9495128536
Maximum0.999993798
Range0.999984485
Interquartile range (IQR)0.5004113433

Descriptive statistics

Standard deviation0.2884473104
Coefficient of variation (CV)0.5780273126
Kurtosis-1.201641155
Mean0.499020209
Median Absolute Deviation (MAD)0.250229698
Skewness0.006532426292
Sum39921.61672
Variance0.08320185085
MonotonicityNot monotonic
2021-10-14T12:20:13.611388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7414702893
 
< 0.1%
0.5045606192
 
< 0.1%
0.1354123212
 
< 0.1%
0.444123772
 
< 0.1%
0.1068373692
 
< 0.1%
0.8401712982
 
< 0.1%
0.0553355692
 
< 0.1%
0.4714096022
 
< 0.1%
0.3343802992
 
< 0.1%
0.1298950332
 
< 0.1%
Other values (79852)79979
> 99.9%
ValueCountFrequency (%)
9.313 × 10-61
< 0.1%
3.8331 × 10-51
< 0.1%
3.8549 × 10-51
< 0.1%
4.028 × 10-51
< 0.1%
7.8451 × 10-51
< 0.1%
8.9515 × 10-51
< 0.1%
8.9821 × 10-51
< 0.1%
0.0001062581
< 0.1%
0.0001349581
< 0.1%
0.0001471621
< 0.1%
ValueCountFrequency (%)
0.9999937981
< 0.1%
0.9999699221
< 0.1%
0.9999698091
< 0.1%
0.9999697841
< 0.1%
0.999962091
< 0.1%
0.9999594741
< 0.1%
0.9999546631
< 0.1%
0.9999501491
< 0.1%
0.9999423671
< 0.1%
0.999938851
< 0.1%

f4
Real number (ℝ≥0)

HIGH CORRELATION

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2782.70625
Minimum1100
Maximum7900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:13.709982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1100
Q11500
median2200
Q33900
95-th percentile5400
Maximum7900
Range6800
Interquartile range (IQR)2400

Descriptive statistics

Standard deviation1432.584188
Coefficient of variation (CV)0.5148168937
Kurtosis-0.7873737257
Mean2782.70625
Median Absolute Deviation (MAD)900
Skewness0.6227159842
Sum222616500
Variance2052297.455
MonotonicityNot monotonic
2021-10-14T12:20:13.799064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13009370
 
11.7%
18008040
 
10.1%
15006250
 
7.8%
11006171
 
7.7%
35005297
 
6.6%
22005152
 
6.4%
26003695
 
4.6%
36003136
 
3.9%
44003111
 
3.9%
53002280
 
2.9%
Other values (51)27498
34.4%
ValueCountFrequency (%)
11006171
7.7%
1200202
 
0.3%
13009370
11.7%
140067
 
0.1%
15006250
7.8%
16001956
 
2.4%
1700281
 
0.4%
18008040
10.1%
19001466
 
1.8%
2000722
 
0.9%
ValueCountFrequency (%)
790040
0.1%
740015
 
< 0.1%
730030
 
< 0.1%
720033
 
< 0.1%
700058
0.1%
680099
0.1%
670021
 
< 0.1%
660031
 
< 0.1%
650070
0.1%
640032
 
< 0.1%

f5
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.999175
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:13.876134image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q315
95-th percentile16
Maximum17
Range16
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.339796882
Coefficient of variation (CV)0.6675434506
Kurtosis-1.285933283
Mean7.999175
Median Absolute Deviation (MAD)3
Skewness0.6078030329
Sum639934
Variance28.51343074
MonotonicityNot monotonic
2021-10-14T12:20:13.937189image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
427081
33.9%
1616567
20.7%
39612
 
12.0%
79425
 
11.8%
107290
 
9.1%
173115
 
3.9%
22816
 
3.5%
131905
 
2.4%
11240
 
1.6%
15949
 
1.2%
ValueCountFrequency (%)
11240
 
1.6%
22816
 
3.5%
39612
 
12.0%
427081
33.9%
79425
 
11.8%
107290
 
9.1%
131905
 
2.4%
15949
 
1.2%
1616567
20.7%
173115
 
3.9%
ValueCountFrequency (%)
173115
 
3.9%
1616567
20.7%
15949
 
1.2%
131905
 
2.4%
107290
 
9.1%
79425
 
11.8%
427081
33.9%
39612
 
12.0%
22816
 
3.5%
11240
 
1.6%

f6
Real number (ℝ≥0)

Distinct1009
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47672.47832
Minimum0
Maximum88194
Zeros31
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:14.023268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1344
Q111255
median76059
Q380125
95-th percentile84117.4
Maximum88194
Range88194
Interquartile range (IQR)68870

Descriptive statistics

Standard deviation35619.56809
Coefficient of variation (CV)0.7471725688
Kurtosis-1.911309773
Mean47672.47832
Median Absolute Deviation (MAD)8699
Skewness-0.1940266698
Sum3813798266
Variance1268753631
MonotonicityNot monotonic
2021-10-14T12:20:14.113350image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136991024
 
1.3%
3793971
 
1.2%
76973952
 
1.2%
76831927
 
1.2%
76957914
 
1.1%
8563880
 
1.1%
2496858
 
1.1%
12290851
 
1.1%
9290831
 
1.0%
13317810
 
1.0%
Other values (999)70982
88.7%
ValueCountFrequency (%)
031
 
< 0.1%
137
 
< 0.1%
342
 
< 0.1%
4422
 
< 0.1%
78493
0.6%
813
 
< 0.1%
113336
0.4%
169119
 
0.1%
18325
 
< 0.1%
3544
 
< 0.1%
ValueCountFrequency (%)
881943
< 0.1%
881301
 
< 0.1%
880231
 
< 0.1%
879841
 
< 0.1%
879232
 
< 0.1%
878961
 
< 0.1%
878733
< 0.1%
878182
 
< 0.1%
877801
 
< 0.1%
876776
< 0.1%

f7
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9456
Distinct (%)11.8%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2910.493425
Minimum1
Maximum9618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:14.202431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile75
Q1627
median2245
Q34540
95-th percentile7587
Maximum9618
Range9617
Interquartile range (IQR)3913

Descriptive statistics

Standard deviation2485.822321
Coefficient of variation (CV)0.8540896535
Kurtosis-0.6447811596
Mean2910.493425
Median Absolute Deviation (MAD)1798
Skewness0.6891764579
Sum232408721
Variance6179312.613
MonotonicityNot monotonic
2021-10-14T12:20:14.299011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1120
 
0.1%
2102
 
0.1%
498
 
0.1%
396
 
0.1%
583
 
0.1%
675
 
0.1%
1372
 
0.1%
1270
 
0.1%
870
 
0.1%
968
 
0.1%
Other values (9446)78998
98.7%
(Missing)148
 
0.2%
ValueCountFrequency (%)
1120
0.1%
2102
0.1%
396
0.1%
498
0.1%
583
0.1%
675
0.1%
767
0.1%
870
0.1%
968
0.1%
1067
0.1%
ValueCountFrequency (%)
96181
< 0.1%
96161
< 0.1%
96141
< 0.1%
96131
< 0.1%
96121
< 0.1%
96111
< 0.1%
96101
< 0.1%
96091
< 0.1%
96081
< 0.1%
96071
< 0.1%

f8
Real number (ℝ≥0)

Distinct9652
Distinct (%)12.1%
Missing88
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2345.041408
Minimum1
Maximum10882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:14.397101image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile117
Q1721
median1730
Q33324
95-th percentile6514
Maximum10882
Range10881
Interquartile range (IQR)2603

Descriptive statistics

Standard deviation2166.643227
Coefficient of variation (CV)0.9239253601
Kurtosis2.036475037
Mean2345.041408
Median Absolute Deviation (MAD)1167
Skewness1.446299127
Sum187396949
Variance4694342.875
MonotonicityNot monotonic
2021-10-14T12:20:14.493188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165
 
0.1%
264
 
0.1%
462
 
0.1%
352
 
0.1%
547
 
0.1%
844
 
0.1%
944
 
0.1%
1243
 
0.1%
7043
 
0.1%
20843
 
0.1%
Other values (9642)79405
99.3%
(Missing)88
 
0.1%
ValueCountFrequency (%)
165
0.1%
264
0.1%
352
0.1%
462
0.1%
547
0.1%
642
0.1%
737
< 0.1%
844
0.1%
944
0.1%
1040
0.1%
ValueCountFrequency (%)
108821
< 0.1%
108801
< 0.1%
108781
< 0.1%
108771
< 0.1%
108761
< 0.1%
108751
< 0.1%
108731
< 0.1%
108711
< 0.1%
108701
< 0.1%
108671
< 0.1%

f9
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5362
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.5962771
Minimum106.82
Maximum172.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:14.584270image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum106.82
5-th percentile118.88
Q1124.5
median128.91
Q3150.81
95-th percentile159.29
Maximum172.95
Range66.13
Interquartile range (IQR)26.31

Descriptive statistics

Standard deviation14.22058423
Coefficient of variation (CV)0.1048744444
Kurtosis-1.253132178
Mean135.5962771
Median Absolute Deviation (MAD)7.1
Skewness0.5272426372
Sum10847702.17
Variance202.2250159
MonotonicityNot monotonic
2021-10-14T12:20:14.674353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129688
 
0.9%
125379
 
0.5%
124.5373
 
0.5%
126354
 
0.4%
124345
 
0.4%
127.5345
 
0.4%
125.5327
 
0.4%
128.25293
 
0.4%
127284
 
0.4%
126.5248
 
0.3%
Other values (5352)76364
95.5%
ValueCountFrequency (%)
106.821
< 0.1%
107.131
< 0.1%
107.51
< 0.1%
107.971
< 0.1%
108.131
< 0.1%
108.251
< 0.1%
108.882
< 0.1%
1091
< 0.1%
109.072
< 0.1%
109.252
< 0.1%
ValueCountFrequency (%)
172.951
< 0.1%
172.411
< 0.1%
172.051
< 0.1%
171.771
< 0.1%
171.451
< 0.1%
171.281
< 0.1%
171.211
< 0.1%
170.681
< 0.1%
170.291
< 0.1%
170.111
< 0.1%

f10
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5948
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.6073811
Minimum103.14
Maximum175.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:14.770488image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum103.14
5-th percentile116.9395
Q1124.01
median129.58
Q3150.45
95-th percentile161.3405
Maximum175.27
Range72.13
Interquartile range (IQR)26.44

Descriptive statistics

Standard deviation14.90265198
Coefficient of variation (CV)0.1098955813
Kurtosis-1.099418341
Mean135.6073811
Median Absolute Deviation (MAD)8.82
Skewness0.4915226293
Sum10848590.49
Variance222.0890361
MonotonicityNot monotonic
2021-10-14T12:20:14.863889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129707
 
0.9%
126238
 
0.3%
124233
 
0.3%
126.3191
 
0.2%
124.2182
 
0.2%
152177
 
0.2%
124.02167
 
0.2%
128.73149
 
0.2%
128.97144
 
0.2%
125.4135
 
0.2%
Other values (5938)77677
97.1%
ValueCountFrequency (%)
103.141
< 0.1%
103.191
< 0.1%
103.611
< 0.1%
103.861
< 0.1%
103.931
< 0.1%
104.11
< 0.1%
104.251
< 0.1%
104.321
< 0.1%
104.361
< 0.1%
104.371
< 0.1%
ValueCountFrequency (%)
175.271
< 0.1%
175.231
< 0.1%
175.191
< 0.1%
175.181
< 0.1%
175.161
< 0.1%
175.041
< 0.1%
174.661
< 0.1%
174.181
< 0.1%
173.631
< 0.1%
173.421
< 0.1%

f13
Real number (ℝ≥0)

HIGH CORRELATION

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.45635
Minimum2
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:14.951957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q19
median11
Q314
95-th percentile17
Maximum40
Range38
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.71566848
Coefficient of variation (CV)0.3243326609
Kurtosis3.604033571
Mean11.45635
Median Absolute Deviation (MAD)2
Skewness0.976619081
Sum916508
Variance13.80619225
MonotonicityNot monotonic
2021-10-14T12:20:15.030028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
129751
12.2%
119161
11.5%
137990
10.0%
107949
9.9%
97448
9.3%
146775
8.5%
86368
8.0%
75025
6.3%
154298
 
5.4%
163972
 
5.0%
Other values (20)11263
14.1%
ValueCountFrequency (%)
210
 
< 0.1%
3146
 
0.2%
4727
 
0.9%
51752
 
2.2%
63103
 
3.9%
75025
6.3%
86368
8.0%
97448
9.3%
107949
9.9%
119161
11.5%
ValueCountFrequency (%)
4040
 
0.1%
3232
 
< 0.1%
29116
0.1%
28136
0.2%
27189
0.2%
2626
 
< 0.1%
2542
 
0.1%
24130
0.2%
23138
0.2%
22109
0.1%

f14
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct2047
Distinct (%)2.6%
Missing89
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6877962283
Minimum0
Maximum1
Zeros7940
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:15.121111image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6723
median0.7692
Q30.8333
95-th percentile0.9075
Maximum1
Range1
Interquartile range (IQR)0.161

Descriptive statistics

Standard deviation0.2536581294
Coefficient of variation (CV)0.3687983722
Kurtosis2.607945747
Mean0.6877962283
Median Absolute Deviation (MAD)0.0751
Skewness-1.914369814
Sum54962.4844
Variance0.0643424466
MonotonicityNot monotonic
2021-10-14T12:20:15.220201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07940
 
9.9%
0.8034507
 
0.6%
0.7778503
 
0.6%
0.8480
 
0.6%
0.8205468
 
0.6%
0.8376446
 
0.6%
0.7949446
 
0.6%
0.75439
 
0.5%
0.7863439
 
0.5%
0.812425
 
0.5%
Other values (2037)67818
84.8%
ValueCountFrequency (%)
07940
9.9%
0.00852
 
< 0.1%
0.00891
 
< 0.1%
0.01552
 
< 0.1%
0.01721
 
< 0.1%
0.0271
 
< 0.1%
0.03741
 
< 0.1%
0.041
 
< 0.1%
0.0421
 
< 0.1%
0.04241
 
< 0.1%
ValueCountFrequency (%)
1124
0.2%
0.99191
 
< 0.1%
0.99162
 
< 0.1%
0.99157
 
< 0.1%
0.99141
 
< 0.1%
0.99134
 
< 0.1%
0.99127
 
< 0.1%
0.99116
 
< 0.1%
0.9914
 
< 0.1%
0.99095
 
< 0.1%

f15
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1880
Distinct (%)2.4%
Missing44
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6685297339
Minimum0
Maximum1
Zeros7985
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:15.316526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6532
median0.7541
Q30.8158
95-th percentile0.8889
Maximum1
Range1
Interquartile range (IQR)0.1626

Descriptive statistics

Standard deviation0.2530437331
Coefficient of variation (CV)0.3785078214
Kurtosis2.192605209
Mean0.6685297339
Median Absolute Deviation (MAD)0.075
Skewness-1.819311858
Sum53452.9634
Variance0.06403113088
MonotonicityNot monotonic
2021-10-14T12:20:15.413600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07985
 
10.0%
0.7966657
 
0.8%
0.8051601
 
0.8%
0.8136600
 
0.8%
0.7797597
 
0.7%
0.8305585
 
0.7%
0.7881569
 
0.7%
0.7712563
 
0.7%
0.75526
 
0.7%
0.822520
 
0.7%
Other values (1870)66753
83.4%
ValueCountFrequency (%)
07985
10.0%
0.00542
 
< 0.1%
0.00831
 
< 0.1%
0.00851
 
< 0.1%
0.00891
 
< 0.1%
0.01691
 
< 0.1%
0.0251
 
< 0.1%
0.03671
 
< 0.1%
0.041
 
< 0.1%
0.04031
 
< 0.1%
ValueCountFrequency (%)
140
0.1%
0.99191
 
< 0.1%
0.99161
 
< 0.1%
0.99152
 
< 0.1%
0.99131
 
< 0.1%
0.99122
 
< 0.1%
0.99111
 
< 0.1%
0.9914
 
< 0.1%
0.99092
 
< 0.1%
0.99083
 
< 0.1%

f16
Real number (ℝ≥0)

Distinct40130
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3863639.4
Minimum0
Maximum68764236
Zeros358
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:15.507686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26386
Q1409217
median1601476.5
Q34482963.75
95-th percentile15047361.65
Maximum68764236
Range68764236
Interquartile range (IQR)4073746.75

Descriptive statistics

Standard deviation6293947.281
Coefficient of variation (CV)1.629020369
Kurtosis30.9952626
Mean3863639.4
Median Absolute Deviation (MAD)1417220
Skewness4.373451623
Sum3.09091152 × 1011
Variance3.961377238 × 1013
MonotonicityNot monotonic
2021-10-14T12:20:15.605775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0358
 
0.4%
57501724
 
< 0.1%
1842222
 
< 0.1%
1073721
 
< 0.1%
54224421
 
< 0.1%
74494920
 
< 0.1%
3705220
 
< 0.1%
61561520
 
< 0.1%
52859820
 
< 0.1%
62808019
 
< 0.1%
Other values (40120)79455
99.3%
ValueCountFrequency (%)
0358
0.4%
772
 
< 0.1%
971
 
< 0.1%
1181
 
< 0.1%
1211
 
< 0.1%
13617
 
< 0.1%
1443
 
< 0.1%
1453
 
< 0.1%
1593
 
< 0.1%
1693
 
< 0.1%
ValueCountFrequency (%)
687642361
< 0.1%
687637462
< 0.1%
687633851
< 0.1%
687627111
< 0.1%
687622451
< 0.1%
687568161
< 0.1%
687550671
< 0.1%
687410791
< 0.1%
687401471
< 0.1%
677154251
< 0.1%

f17
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1645
Distinct (%)2.1%
Missing121
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.6644618936
Minimum0
Maximum1
Zeros7908
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:15.712457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6484
median0.7419
Q30.8049
95-th percentile0.8729
Maximum1
Range1
Interquartile range (IQR)0.1565

Descriptive statistics

Standard deviation0.2425751152
Coefficient of variation (CV)0.3650700176
Kurtosis2.764427046
Mean0.6644618936
Median Absolute Deviation (MAD)0.0717
Skewness-1.947573544
Sum53076.5516
Variance0.05884268651
MonotonicityNot monotonic
2021-10-14T12:20:15.820647image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07908
 
9.9%
0.7642970
 
1.2%
0.7805962
 
1.2%
0.7724946
 
1.2%
0.7561932
 
1.2%
0.7886907
 
1.1%
0.748897
 
1.1%
0.7398895
 
1.1%
0.7967867
 
1.1%
0.8049847
 
1.1%
Other values (1635)63748
79.7%
ValueCountFrequency (%)
07908
9.9%
0.0081
 
< 0.1%
0.00851
 
< 0.1%
0.00861
 
< 0.1%
0.0152
 
< 0.1%
0.01691
 
< 0.1%
0.02331
 
< 0.1%
0.03451
 
< 0.1%
0.041
 
< 0.1%
0.04071
 
< 0.1%
ValueCountFrequency (%)
114
< 0.1%
0.99171
 
< 0.1%
0.99161
 
< 0.1%
0.99153
 
< 0.1%
0.99051
 
< 0.1%
0.98351
 
< 0.1%
0.98312
 
< 0.1%
0.98293
 
< 0.1%
0.98281
 
< 0.1%
0.98261
 
< 0.1%

f18
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1538
Distinct (%)1.9%
Missing23
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6378647699
Minimum0
Maximum1
Zeros8006
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:15.929747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.621
median0.7339
Q30.7966
95-th percentile0.8644
Maximum1
Range1
Interquartile range (IQR)0.1756

Descriptive statistics

Standard deviation0.2573909123
Coefficient of variation (CV)0.4035195615
Kurtosis1.268260933
Mean0.6378647699
Median Absolute Deviation (MAD)0.0754
Skewness-1.58637725
Sum51014.5107
Variance0.06625008172
MonotonicityNot monotonic
2021-10-14T12:20:16.033841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08006
 
10.0%
0.751040
 
1.3%
0.7742831
 
1.0%
0.7661804
 
1.0%
0.7581787
 
1.0%
0.7823783
 
1.0%
0.7984762
 
1.0%
0.7419746
 
0.9%
0.7903737
 
0.9%
0.7339727
 
0.9%
Other values (1528)64754
80.9%
ValueCountFrequency (%)
08006
10.0%
0.00542
 
< 0.1%
0.0081
 
< 0.1%
0.00811
 
< 0.1%
0.00851
 
< 0.1%
0.01691
 
< 0.1%
0.02331
 
< 0.1%
0.02432
 
< 0.1%
0.03451
 
< 0.1%
0.03781
 
< 0.1%
ValueCountFrequency (%)
110
< 0.1%
0.99161
 
< 0.1%
0.99153
 
< 0.1%
0.99051
 
< 0.1%
0.98441
 
< 0.1%
0.98351
 
< 0.1%
0.98312
 
< 0.1%
0.98292
 
< 0.1%
0.98281
 
< 0.1%
0.98261
 
< 0.1%

f19
Real number (ℝ≥0)

HIGH CORRELATION

Distinct7716
Distinct (%)9.6%
Missing23
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.5061065606
Minimum0
Maximum1
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:16.135797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0693
Q10.427
median0.537
Q30.6262
95-th percentile0.73902
Maximum1
Range1
Interquartile range (IQR)0.1992

Descriptive statistics

Standard deviation0.1781280741
Coefficient of variation (CV)0.3519576468
Kurtosis0.7124867241
Mean0.5061065606
Median Absolute Deviation (MAD)0.0976
Skewness-0.9243053771
Sum40476.8844
Variance0.03172961079
MonotonicityNot monotonic
2021-10-14T12:20:16.236878image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6261104
 
0.1%
0.5539101
 
0.1%
0.59190
 
0.1%
0.503690
 
0.1%
0.589186
 
0.1%
0.584586
 
0.1%
0.567581
 
0.1%
0.480781
 
0.1%
0.599480
 
0.1%
0.566378
 
0.1%
Other values (7706)79100
98.9%
ValueCountFrequency (%)
04
< 0.1%
0.00014
< 0.1%
0.00021
 
< 0.1%
0.00051
 
< 0.1%
0.00062
< 0.1%
0.00111
 
< 0.1%
0.00143
< 0.1%
0.00171
 
< 0.1%
0.00251
 
< 0.1%
0.00271
 
< 0.1%
ValueCountFrequency (%)
115
< 0.1%
0.99241
 
< 0.1%
0.99011
 
< 0.1%
0.98621
 
< 0.1%
0.9831
 
< 0.1%
0.97941
 
< 0.1%
0.97731
 
< 0.1%
0.97451
 
< 0.1%
0.97221
 
< 0.1%
0.97181
 
< 0.1%

f20
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1975
Distinct (%)2.5%
Missing373
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.6773492697
Minimum0
Maximum1
Zeros7661
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:16.336969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6612
median0.7607
Q30.8246
95-th percentile0.8966
Maximum1
Range1
Interquartile range (IQR)0.1634

Descriptive statistics

Standard deviation0.2521211253
Coefficient of variation (CV)0.3722173132
Kurtosis2.351103355
Mean0.6773492697
Median Absolute Deviation (MAD)0.0752
Skewness-1.851139143
Sum53935.2903
Variance0.0635650618
MonotonicityNot monotonic
2021-10-14T12:20:16.439062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07661
 
9.6%
0.75691
 
0.9%
0.8205546
 
0.7%
0.8034544
 
0.7%
0.7521520
 
0.7%
0.812520
 
0.7%
0.7863513
 
0.6%
0.7778513
 
0.6%
0.8291505
 
0.6%
0.7692496
 
0.6%
Other values (1965)67118
83.9%
ValueCountFrequency (%)
07661
9.6%
0.0081
 
< 0.1%
0.00851
 
< 0.1%
0.00861
 
< 0.1%
0.01672
 
< 0.1%
0.01711
 
< 0.1%
0.0251
 
< 0.1%
0.03641
 
< 0.1%
0.04031
 
< 0.1%
0.0422
 
< 0.1%
ValueCountFrequency (%)
161
0.1%
0.99157
 
< 0.1%
0.99131
 
< 0.1%
0.99127
 
< 0.1%
0.99113
 
< 0.1%
0.9912
 
< 0.1%
0.99095
 
< 0.1%
0.99085
 
< 0.1%
0.99071
 
< 0.1%
0.99054
 
< 0.1%

f21
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct1867
Distinct (%)2.4%
Missing1435
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.7369519659
Minimum0
Maximum1
Zeros6780
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:16.540663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7232
median0.8158
Q30.875
95-th percentile0.9412
Maximum1
Range1
Interquartile range (IQR)0.1518

Descriptive statistics

Standard deviation0.2494962083
Coefficient of variation (CV)0.3385515201
Kurtosis3.759502653
Mean0.7369519659
Median Absolute Deviation (MAD)0.0703
Skewness-2.164077368
Sum57898.6312
Variance0.06224835796
MonotonicityNot monotonic
2021-10-14T12:20:16.645362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06780
 
8.5%
0.8583
 
0.7%
0.8333481
 
0.6%
0.8571479
 
0.6%
1467
 
0.6%
0.875449
 
0.6%
0.8545426
 
0.5%
0.8304421
 
0.5%
0.7982420
 
0.5%
0.75413
 
0.5%
Other values (1857)67646
84.6%
(Missing)1435
 
1.8%
ValueCountFrequency (%)
06780
8.5%
0.0091
 
< 0.1%
0.00911
 
< 0.1%
0.00941
 
< 0.1%
0.01722
 
< 0.1%
0.01791
 
< 0.1%
0.02751
 
< 0.1%
0.0371
 
< 0.1%
0.04421
 
< 0.1%
0.04461
 
< 0.1%
ValueCountFrequency (%)
1467
0.6%
0.99171
 
< 0.1%
0.99161
 
< 0.1%
0.991511
 
< 0.1%
0.99142
 
< 0.1%
0.99136
 
< 0.1%
0.991219
 
< 0.1%
0.991121
 
< 0.1%
0.99114
 
< 0.1%
0.990920
 
< 0.1%

f22
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct1747
Distinct (%)2.2%
Missing1310
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.7173898958
Minimum0
Maximum1
Zeros6941
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:16.745368image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7043
median0.7965
Q30.8559
95-th percentile0.9138
Maximum1
Range1
Interquartile range (IQR)0.1516

Descriptive statistics

Standard deviation0.2454021874
Coefficient of variation (CV)0.342076448
Kurtosis3.626168191
Mean0.7173898958
Median Absolute Deviation (MAD)0.0696
Skewness-2.14346112
Sum56451.4109
Variance0.06022223356
MonotonicityNot monotonic
2021-10-14T12:20:16.842352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06941
 
8.7%
0.8333624
 
0.8%
0.75548
 
0.7%
0.8571540
 
0.7%
0.8319534
 
0.7%
0.8516
 
0.6%
0.7982506
 
0.6%
0.8246495
 
0.6%
0.875488
 
0.6%
0.807480
 
0.6%
Other values (1737)67018
83.8%
(Missing)1310
 
1.6%
ValueCountFrequency (%)
06941
8.7%
0.00881
 
< 0.1%
0.0092
 
< 0.1%
0.01672
 
< 0.1%
0.01751
 
< 0.1%
0.02651
 
< 0.1%
0.03571
 
< 0.1%
0.04422
 
< 0.1%
0.0451
 
< 0.1%
0.05311
 
< 0.1%
ValueCountFrequency (%)
172
0.1%
0.99191
 
< 0.1%
0.99156
 
< 0.1%
0.99142
 
< 0.1%
0.99131
 
< 0.1%
0.99126
 
< 0.1%
0.99119
 
< 0.1%
0.9917
 
< 0.1%
0.99095
 
< 0.1%
0.99083
 
< 0.1%

f23
Real number (ℝ≥0)

HIGH CORRELATION

Distinct37110
Distinct (%)46.7%
Missing552
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean3154815849
Minimum167640
Maximum1.56304896 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:16.935293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum167640
5-th percentile986111280
Q11546628160
median2346263108
Q34354443040
95-th percentile7598676800
Maximum1.56304896 × 1010
Range1.563032196 × 1010
Interquartile range (IQR)2807814880

Descriptive statistics

Standard deviation2142859669
Coefficient of variation (CV)0.6792344694
Kurtosis0.9287593491
Mean3154815849
Median Absolute Deviation (MAD)1017441908
Skewness1.217280065
Sum2.506438096 × 1014
Variance4.591847562 × 1018
MonotonicityNot monotonic
2021-10-14T12:20:17.028265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146960352042
 
0.1%
137729592041
 
0.1%
144627648037
 
< 0.1%
154006512037
 
< 0.1%
153677700036
 
< 0.1%
187697664036
 
< 0.1%
164510346035
 
< 0.1%
140174496035
 
< 0.1%
160684524034
 
< 0.1%
131864832034
 
< 0.1%
Other values (37100)79081
98.9%
(Missing)552
 
0.7%
ValueCountFrequency (%)
1676401
< 0.1%
2666001
< 0.1%
2666241
< 0.1%
5895681
< 0.1%
20697601
< 0.1%
21824001
< 0.1%
49280001
< 0.1%
51836401
< 0.1%
62643001
< 0.1%
63855001
< 0.1%
ValueCountFrequency (%)
1.56304896 × 10101
< 0.1%
1.551566016 × 10101
< 0.1%
1.536216 × 10101
< 0.1%
1.533631968 × 10102
< 0.1%
1.477331064 × 10101
< 0.1%
1.476505008 × 10101
< 0.1%
1.423089008 × 10101
< 0.1%
1.396411632 × 10101
< 0.1%
1.363358304 × 10101
< 0.1%
1.354096128 × 10101
< 0.1%

f24
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct124
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.1969875
Minimum0
Maximum126
Zeros8029
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:17.125045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180
median91
Q398
95-th percentile105
Maximum126
Range126
Interquartile range (IQR)18

Descriptive statistics

Standard deviation29.54775113
Coefficient of variation (CV)0.3639020614
Kurtosis2.888895831
Mean81.1969875
Median Absolute Deviation (MAD)8
Skewness-2.000653926
Sum6495759
Variance873.0695968
MonotonicityNot monotonic
2021-10-14T12:20:17.221000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08029
 
10.0%
952989
 
3.7%
942980
 
3.7%
962941
 
3.7%
932876
 
3.6%
972865
 
3.6%
982795
 
3.5%
922744
 
3.4%
992679
 
3.3%
912643
 
3.3%
Other values (114)46459
58.1%
ValueCountFrequency (%)
08029
10.0%
13
 
< 0.1%
23
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
53
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
84
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
1261
 
< 0.1%
1251
 
< 0.1%
1231
 
< 0.1%
1222
 
< 0.1%
1212
 
< 0.1%
1201
 
< 0.1%
1198
 
< 0.1%
11813
 
< 0.1%
11730
< 0.1%
11644
0.1%

f25
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct181
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.1893125
Minimum0
Maximum184
Zeros7039
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:17.313107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median66
Q386
95-th percentile118
Maximum184
Range184
Interquartile range (IQR)41

Descriptive statistics

Standard deviation33.46447402
Coefficient of variation (CV)0.521340278
Kurtosis-0.1968812558
Mean64.1893125
Median Absolute Deviation (MAD)20
Skewness-0.1185637021
Sum5135145
Variance1119.871022
MonotonicityNot monotonic
2021-10-14T12:20:17.406266image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07039
 
8.8%
691165
 
1.5%
651156
 
1.4%
671153
 
1.4%
661151
 
1.4%
641133
 
1.4%
621127
 
1.4%
601101
 
1.4%
581100
 
1.4%
711091
 
1.4%
Other values (171)62784
78.5%
ValueCountFrequency (%)
07039
8.8%
149
 
0.1%
263
 
0.1%
381
 
0.1%
483
 
0.1%
589
 
0.1%
693
 
0.1%
791
 
0.1%
8105
 
0.1%
9108
 
0.1%
ValueCountFrequency (%)
1841
 
< 0.1%
1812
 
< 0.1%
1782
 
< 0.1%
1772
 
< 0.1%
1763
< 0.1%
1751
 
< 0.1%
1741
 
< 0.1%
1735
< 0.1%
1721
 
< 0.1%
1712
 
< 0.1%

f26
Real number (ℝ≥0)

HIGH CORRELATION

Distinct4334
Distinct (%)5.5%
Missing552
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1117244.307
Minimum124
Maximum2603664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:17.502034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile597037
Q1930987
median1119875
Q31304907
95-th percentile1638693
Maximum2603664
Range2603540
Interquartile range (IQR)373920

Descriptive statistics

Standard deviation308434.6124
Coefficient of variation (CV)0.2760672939
Kurtosis0.5295642822
Mean1117244.307
Median Absolute Deviation (MAD)187850
Skewness-0.07832236482
Sum8.876282568 × 1010
Variance9.513191011 × 1010
MonotonicityNot monotonic
2021-10-14T12:20:17.601597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1115721220
 
0.3%
1164225218
 
0.3%
1068249213
 
0.3%
1091856211
 
0.3%
1139844211
 
0.3%
1213761209
 
0.3%
1188864207
 
0.3%
1113336204
 
0.3%
1049536203
 
0.3%
1089774202
 
0.3%
Other values (4324)77350
96.7%
(Missing)552
 
0.7%
ValueCountFrequency (%)
1241
< 0.1%
1271
< 0.1%
1281
< 0.1%
4481
< 0.1%
5881
< 0.1%
6201
< 0.1%
13861
< 0.1%
23681
< 0.1%
28001
< 0.1%
28501
< 0.1%
ValueCountFrequency (%)
26036641
 
< 0.1%
24811561
 
< 0.1%
24409761
 
< 0.1%
24011241
 
< 0.1%
23507261
 
< 0.1%
23224042
< 0.1%
23132781
 
< 0.1%
23113843
< 0.1%
22968751
 
< 0.1%
22835363
< 0.1%

f27
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1172
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.32867312
Minimum0
Maximum218.73
Zeros8029
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:17.694849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median95
Q3105.02
95-th percentile152.94
Maximum218.73
Range218.73
Interquartile range (IQR)21.02

Descriptive statistics

Standard deviation38.87985638
Coefficient of variation (CV)0.4211027307
Kurtosis1.236518336
Mean92.32867312
Median Absolute Deviation (MAD)11
Skewness-0.7990873198
Sum7386293.85
Variance1511.643232
MonotonicityNot monotonic
2021-10-14T12:20:17.783009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08029
 
10.0%
962376
 
3.0%
942348
 
2.9%
952335
 
2.9%
972224
 
2.8%
932203
 
2.8%
982203
 
2.8%
922155
 
2.7%
992123
 
2.7%
912064
 
2.6%
Other values (1162)51940
64.9%
ValueCountFrequency (%)
08029
10.0%
13
 
< 0.1%
21
 
< 0.1%
2.832
 
< 0.1%
31
 
< 0.1%
53
 
< 0.1%
5.661
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
84
 
< 0.1%
ValueCountFrequency (%)
218.731
 
< 0.1%
214.761
 
< 0.1%
213.291
 
< 0.1%
213.022
< 0.1%
211.471
 
< 0.1%
211.074
< 0.1%
209.651
 
< 0.1%
209.114
< 0.1%
207.721
 
< 0.1%
205.961
 
< 0.1%

f28
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1161
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.016253
Minimum0
Maximum160.49
Zeros8029
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:17.873975image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q183
median94
Q3102
95-th percentile123.23
Maximum160.49
Range160.49
Interquartile range (IQR)19

Descriptive statistics

Standard deviation32.36048615
Coefficient of variation (CV)0.3762136227
Kurtosis2.354920013
Mean86.016253
Median Absolute Deviation (MAD)9
Skewness-1.686918297
Sum6881300.24
Variance1047.201064
MonotonicityNot monotonic
2021-10-14T12:20:17.967811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08029
 
10.0%
962376
 
3.0%
942356
 
2.9%
952335
 
2.9%
972224
 
2.8%
982206
 
2.8%
932203
 
2.8%
922155
 
2.7%
992123
 
2.7%
912064
 
2.6%
Other values (1151)51929
64.9%
ValueCountFrequency (%)
08029
10.0%
13
 
< 0.1%
21
 
< 0.1%
2.372
 
< 0.1%
31
 
< 0.1%
4.731
 
< 0.1%
53
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
84
 
< 0.1%
ValueCountFrequency (%)
160.491
< 0.1%
159.171
< 0.1%
157.911
< 0.1%
156.541
< 0.1%
156.361
< 0.1%
155.381
< 0.1%
155.221
< 0.1%
155.21
< 0.1%
154.281
< 0.1%
153.911
< 0.1%

f29
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1171
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.8762845
Minimum0
Maximum220.63
Zeros8029
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:18.061738image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191
median109.46
Q3130.15
95-th percentile161.02
Maximum220.63
Range220.63
Interquartile range (IQR)39.15

Descriptive statistics

Standard deviation42.73002218
Coefficient of variation (CV)0.4113549343
Kurtosis1.115913957
Mean103.8762845
Median Absolute Deviation (MAD)19.46
Skewness-1.090147843
Sum8310102.76
Variance1825.854796
MonotonicityNot monotonic
2021-10-14T12:20:18.152107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08029
 
10.0%
94957
 
1.2%
95916
 
1.1%
96908
 
1.1%
98874
 
1.1%
91867
 
1.1%
97849
 
1.1%
93847
 
1.1%
92838
 
1.0%
99822
 
1.0%
Other values (1161)64093
80.1%
ValueCountFrequency (%)
08029
10.0%
12
 
< 0.1%
1.231
 
< 0.1%
21
 
< 0.1%
2.942
 
< 0.1%
4.61
 
< 0.1%
51
 
< 0.1%
6.161
 
< 0.1%
6.591
 
< 0.1%
6.611
 
< 0.1%
ValueCountFrequency (%)
220.631
< 0.1%
218.571
< 0.1%
214.851
< 0.1%
214.442
< 0.1%
213.181
< 0.1%
213.131
< 0.1%
213.011
< 0.1%
211.222
< 0.1%
211.181
< 0.1%
210.322
< 0.1%

f30
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1174
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.1151095
Minimum0
Maximum159.9
Zeros8029
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:18.244336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187
median99.6
Q3110.67
95-th percentile126.73
Maximum159.9
Range159.9
Interquartile range (IQR)23.67

Descriptive statistics

Standard deviation34.18024436
Coefficient of variation (CV)0.3751325608
Kurtosis2.338591073
Mean91.1151095
Median Absolute Deviation (MAD)11.6
Skewness-1.739075846
Sum7289208.76
Variance1168.289104
MonotonicityNot monotonic
2021-10-14T12:20:18.342043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08029
 
10.0%
94957
 
1.2%
95916
 
1.1%
96908
 
1.1%
98875
 
1.1%
91867
 
1.1%
93847
 
1.1%
92838
 
1.0%
97834
 
1.0%
99822
 
1.0%
Other values (1164)64107
80.1%
ValueCountFrequency (%)
08029
10.0%
12
 
< 0.1%
1.111
 
< 0.1%
21
 
< 0.1%
2.412
 
< 0.1%
3.691
 
< 0.1%
51
 
< 0.1%
5.11
 
< 0.1%
5.531
 
< 0.1%
5.721
 
< 0.1%
ValueCountFrequency (%)
159.91
< 0.1%
157.091
< 0.1%
156.631
< 0.1%
155.751
< 0.1%
155.031
< 0.1%
154.651
< 0.1%
154.411
< 0.1%
154.131
< 0.1%
153.341
< 0.1%
151.971
< 0.1%

f31
Real number (ℝ≥0)

HIGH CORRELATION

Distinct123
Distinct (%)0.2%
Missing552
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean90.01276307
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:18.437083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile66
Q184
median92
Q399
95-th percentile106
Maximum126
Range125
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.69832216
Coefficient of variation (CV)0.1410724627
Kurtosis3.165992283
Mean90.01276307
Median Absolute Deviation (MAD)7
Skewness-1.319861528
Sum7151334
Variance161.2473858
MonotonicityNot monotonic
2021-10-14T12:20:18.530235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
943212
 
4.0%
953192
 
4.0%
963130
 
3.9%
933113
 
3.9%
973098
 
3.9%
982992
 
3.7%
922941
 
3.7%
992931
 
3.7%
912836
 
3.5%
902731
 
3.4%
Other values (113)49272
61.6%
ValueCountFrequency (%)
13
< 0.1%
23
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
53
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
84
< 0.1%
92
 
< 0.1%
126
< 0.1%
ValueCountFrequency (%)
1261
 
< 0.1%
1251
 
< 0.1%
1232
 
< 0.1%
1224
 
< 0.1%
1212
 
< 0.1%
1201
 
< 0.1%
11910
 
< 0.1%
11816
 
< 0.1%
11733
< 0.1%
11651
0.1%

f32
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct2141
Distinct (%)2.7%
Missing2136
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean0.8547916354
Minimum0
Maximum1
Zeros3974
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:18.623393image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8447
median0.9245
Q30.9709
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1262

Descriptive statistics

Standard deviation0.2225391114
Coefficient of variation (CV)0.2603431084
Kurtosis8.438513132
Mean0.8547916354
Median Absolute Deviation (MAD)0.0558
Skewness-2.958712287
Sum66557.4959
Variance0.04952365609
MonotonicityNot monotonic
2021-10-14T12:20:18.722530image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18215
 
10.3%
03974
 
5.0%
0.9905435
 
0.5%
0.9333398
 
0.5%
0.9907390
 
0.5%
0.9619371
 
0.5%
0.9524367
 
0.5%
0.9806360
 
0.4%
0.981357
 
0.4%
0.9903342
 
0.4%
Other values (2131)62655
78.3%
(Missing)2136
 
2.7%
ValueCountFrequency (%)
03974
5.0%
0.01021
 
< 0.1%
0.01081
 
< 0.1%
0.01111
 
< 0.1%
0.0191
 
< 0.1%
0.02862
 
< 0.1%
0.04121
 
< 0.1%
0.04761
 
< 0.1%
0.04951
 
< 0.1%
0.05491
 
< 0.1%
ValueCountFrequency (%)
18215
10.3%
0.99181
 
< 0.1%
0.99171
 
< 0.1%
0.991521
 
< 0.1%
0.99146
 
< 0.1%
0.991320
 
< 0.1%
0.991251
 
0.1%
0.991140
 
0.1%
0.99146
 
0.1%
0.990975
 
0.1%

f33
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size625.1 KiB
0
80000 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
080000
100.0%

Length

2021-10-14T12:20:18.806750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-14T12:20:18.851074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
080000
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

f34
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size625.1 KiB
0
80000 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
080000
100.0%

Length

2021-10-14T12:20:18.896147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-14T12:20:18.941036image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
080000
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

f35
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size625.1 KiB
0
80000 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
080000
100.0%

Length

2021-10-14T12:20:18.986115image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-14T12:20:19.030721image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
080000
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

f36
Real number (ℝ≥0)

HIGH CORRELATION

Distinct164
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.3194125
Minimum2
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:19.088029image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median11
Q323
95-th percentile55
Maximum167
Range165
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.34257667
Coefficient of variation (CV)1.059076147
Kurtosis7.096456142
Mean17.3194125
Median Absolute Deviation (MAD)7
Skewness2.318227868
Sum1385553
Variance336.4501188
MonotonicityNot monotonic
2021-10-14T12:20:19.175925image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26242
 
7.8%
35644
 
7.1%
45105
 
6.4%
54687
 
5.9%
64174
 
5.2%
73769
 
4.7%
83421
 
4.3%
93154
 
3.9%
102831
 
3.5%
112585
 
3.2%
Other values (154)38388
48.0%
ValueCountFrequency (%)
26242
7.8%
35644
7.1%
45105
6.4%
54687
5.9%
64174
5.2%
73769
4.7%
83421
4.3%
93154
3.9%
102831
3.5%
112585
3.2%
ValueCountFrequency (%)
1671
< 0.1%
1641
< 0.1%
1631
< 0.1%
1621
< 0.1%
1612
< 0.1%
1601
< 0.1%
1591
< 0.1%
1581
< 0.1%
1571
< 0.1%
1561
< 0.1%

f37
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size625.1 KiB
0
80000 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
080000
100.0%

Length

2021-10-14T12:20:19.259423image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-14T12:20:19.304492image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
080000
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

f38
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size625.1 KiB
0
80000 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
080000
100.0%

Length

2021-10-14T12:20:19.349460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-14T12:20:19.395205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
080000
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

f39
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9781
Distinct (%)12.2%
Missing49
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6350935692
Minimum0
Maximum0.9558
Zeros533
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:19.452534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.19
Q10.55965
median0.71095
Q30.77135
95-th percentile0.83275
Maximum0.9558
Range0.9558
Interquartile range (IQR)0.2117

Descriptive statistics

Standard deviation0.1996485
Coefficient of variation (CV)0.3143607646
Kurtosis1.024709332
Mean0.6350935692
Median Absolute Deviation (MAD)0.07905
Skewness-1.351939422
Sum50776.36595
Variance0.03985952354
MonotonicityNot monotonic
2021-10-14T12:20:19.547952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0533
 
0.7%
0.35256
 
0.3%
0.33248
 
0.3%
0.37246
 
0.3%
0.31243
 
0.3%
0.18236
 
0.3%
0.34234
 
0.3%
0.3228
 
0.3%
0.19225
 
0.3%
0.01217
 
0.3%
Other values (9771)77285
96.6%
ValueCountFrequency (%)
0533
0.7%
0.01217
0.3%
0.012152
 
< 0.1%
0.017251
 
< 0.1%
0.0299
 
0.1%
0.029751
 
< 0.1%
0.03107
 
0.1%
0.0493
 
0.1%
0.05135
 
0.2%
0.05171
 
< 0.1%
ValueCountFrequency (%)
0.95581
< 0.1%
0.951
< 0.1%
0.944352
< 0.1%
0.94141
< 0.1%
0.941251
< 0.1%
0.941
< 0.1%
0.939351
< 0.1%
0.93581
< 0.1%
0.93461
< 0.1%
0.934352
< 0.1%

f40
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct7456
Distinct (%)9.3%
Missing49
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6376585748
Minimum0
Maximum0.99
Zeros1679
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:19.642246image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.61511
median0.72678
Q30.78929
95-th percentile0.85661
Maximum0.99
Range0.99
Interquartile range (IQR)0.17418

Descriptive statistics

Standard deviation0.2428714292
Coefficient of variation (CV)0.380880049
Kurtosis1.208291712
Mean0.6376585748
Median Absolute Deviation (MAD)0.07492
Skewness-1.556299353
Sum50981.44071
Variance0.05898653113
MonotonicityNot monotonic
2021-10-14T12:20:19.738005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01679
 
2.1%
0.071435
 
1.8%
0.081254
 
1.6%
0.011103
 
1.4%
0.06941
 
1.2%
0.03429
 
0.5%
0.79127425
 
0.5%
0.77678416
 
0.5%
0.79856416
 
0.5%
0.78407414
 
0.5%
Other values (7446)71439
89.3%
ValueCountFrequency (%)
01679
2.1%
0.011103
1.4%
0.02379
 
0.5%
0.021872
 
< 0.1%
0.024862
 
< 0.1%
0.03429
 
0.5%
0.031051
 
< 0.1%
0.04140
 
0.2%
0.05351
 
0.4%
0.053551
 
< 0.1%
ValueCountFrequency (%)
0.994
< 0.1%
0.982441
 
< 0.1%
0.981451
 
< 0.1%
0.984
< 0.1%
0.977321
 
< 0.1%
0.975151
 
< 0.1%
0.974791
 
< 0.1%
0.974611
 
< 0.1%
0.974521
 
< 0.1%
0.974341
 
< 0.1%

f41
Real number (ℝ≥0)

HIGH CORRELATION

Distinct61447
Distinct (%)76.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6242284586
Minimum0
Maximum0.9712
Zeros550
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:19.836166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2438357
Q10.52123
median0.697013
Q30.75753975
95-th percentile0.80572115
Maximum0.9712
Range0.9712
Interquartile range (IQR)0.23630975

Descriptive statistics

Standard deviation0.1816991629
Coefficient of variation (CV)0.2910779866
Kurtosis1.0497147
Mean0.6242284586
Median Absolute Deviation (MAD)0.081463
Skewness-1.275856166
Sum49937.02823
Variance0.03301458581
MonotonicityNot monotonic
2021-10-14T12:20:19.932828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0550
 
0.7%
0.725847
 
0.1%
0.701647
 
0.1%
0.7546
 
0.1%
0.713744
 
0.1%
0.7177537
 
< 0.1%
0.6935535
 
< 0.1%
0.737934
 
< 0.1%
0.6693534
 
< 0.1%
0.7056534
 
< 0.1%
Other values (61437)79090
98.9%
ValueCountFrequency (%)
0550
0.7%
0.0056551
 
< 0.1%
0.009621
 
< 0.1%
0.0096521
 
< 0.1%
0.0104751
 
< 0.1%
0.0110331
 
< 0.1%
0.011351
 
< 0.1%
0.0118251
 
< 0.1%
0.0119941
 
< 0.1%
0.0120361
 
< 0.1%
ValueCountFrequency (%)
0.97121
< 0.1%
0.95281
< 0.1%
0.94041
< 0.1%
0.9234331
< 0.1%
0.92311
< 0.1%
0.9076671
< 0.1%
0.9071331
< 0.1%
0.904751
< 0.1%
0.9031671
< 0.1%
0.902751
< 0.1%

f42
Real number (ℝ≥0)

HIGH CORRELATION

Distinct166
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17.30270757
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:20.024985image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median11
Q323
95-th percentile55
Maximum167
Range166
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.34998563
Coefficient of variation (CV)1.060526831
Kurtosis7.121396944
Mean17.30270757
Median Absolute Deviation (MAD)7
Skewness2.321358532
Sum1384182
Variance336.7219725
MonotonicityNot monotonic
2021-10-14T12:20:20.118516image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26250
 
7.8%
35656
 
7.1%
45115
 
6.4%
54692
 
5.9%
64179
 
5.2%
73769
 
4.7%
83418
 
4.3%
93154
 
3.9%
102826
 
3.5%
112579
 
3.2%
Other values (156)38360
47.9%
ValueCountFrequency (%)
134
 
< 0.1%
26250
7.8%
35656
7.1%
45115
6.4%
54692
5.9%
64179
5.2%
73769
4.7%
83418
4.3%
93154
3.9%
102826
3.5%
ValueCountFrequency (%)
1671
< 0.1%
1651
< 0.1%
1641
< 0.1%
1631
< 0.1%
1621
< 0.1%
1612
< 0.1%
1601
< 0.1%
1591
< 0.1%
1581
< 0.1%
1571
< 0.1%

f43
Real number (ℝ≥0)

HIGH CORRELATION

Distinct63335
Distinct (%)79.3%
Missing171
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1487879304
Minimum0
Maximum0.490415
Zeros577
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:20.216043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024545
Q10.056869
median0.092872
Q30.258907
95-th percentile0.3468406
Maximum0.490415
Range0.490415
Interquartile range (IQR)0.202038

Descriptive statistics

Standard deviation0.1127090418
Coefficient of variation (CV)0.7575146819
Kurtosis-1.098867665
Mean0.1487879304
Median Absolute Deviation (MAD)0.0551
Skewness0.6161790284
Sum11877.5917
Variance0.0127033281
MonotonicityNot monotonic
2021-10-14T12:20:20.314032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0577
 
0.7%
0.0015838
 
< 0.1%
0.0044732
 
< 0.1%
0.0080631
 
< 0.1%
0.0162830
 
< 0.1%
0.0027430
 
< 0.1%
0.00529
 
< 0.1%
0.00524528
 
< 0.1%
0.0124527
 
< 0.1%
0.0031626
 
< 0.1%
Other values (63325)78981
98.7%
(Missing)171
 
0.2%
ValueCountFrequency (%)
0577
0.7%
0.0010532
 
< 0.1%
0.0015838
 
< 0.1%
0.0017681
 
< 0.1%
0.0018272
 
< 0.1%
0.0022357
 
< 0.1%
0.0025831
 
< 0.1%
0.0027430
 
< 0.1%
0.002791
 
< 0.1%
0.0029351
 
< 0.1%
ValueCountFrequency (%)
0.4904151
< 0.1%
0.4763851
< 0.1%
0.4714031
< 0.1%
0.464831
< 0.1%
0.463421
< 0.1%
0.4631281
< 0.1%
0.4621381
< 0.1%
0.4581361
< 0.1%
0.4576651
< 0.1%
0.4534051
< 0.1%

f44
Real number (ℝ)

HIGH CORRELATION

Distinct76014
Distinct (%)95.9%
Missing747
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean-0.4405936788
Minimum-22.64188
Maximum28.273814
Zeros6
Zeros (%)< 0.1%
Negative57100
Negative (%)71.4%
Memory size625.1 KiB
2021-10-14T12:20:20.406284image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-22.64188
5-th percentile-1.4943766
Q1-1.038267
median-0.786396
Q30.354288
95-th percentile1.0867566
Maximum28.273814
Range50.915694
Interquartile range (IQR)1.392555

Descriptive statistics

Standard deviation1.151269697
Coefficient of variation (CV)-2.612996401
Kurtosis78.46683117
Mean-0.4405936788
Median Absolute Deviation (MAD)0.344875
Skewness3.625698229
Sum-34918.37083
Variance1.325421916
MonotonicityNot monotonic
2021-10-14T12:20:20.499054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.92361611
 
< 0.1%
6.54795810
 
< 0.1%
-1.6448299
 
< 0.1%
1.4109079
 
< 0.1%
1.9774688
 
< 0.1%
-2.979688
 
< 0.1%
0.1472678
 
< 0.1%
1.2470948
 
< 0.1%
0.1849668
 
< 0.1%
2.9088828
 
< 0.1%
Other values (76004)79166
99.0%
(Missing)747
 
0.9%
ValueCountFrequency (%)
-22.641881
< 0.1%
-21.0874972
< 0.1%
-19.4806151
< 0.1%
-16.3504462
< 0.1%
-14.0189411
< 0.1%
-13.7302141
< 0.1%
-12.6881631
< 0.1%
-12.5895592
< 0.1%
-11.9807941
< 0.1%
-11.9360961
< 0.1%
ValueCountFrequency (%)
28.2738141
 
< 0.1%
28.1171171
 
< 0.1%
24.5205854
< 0.1%
24.2703572
< 0.1%
23.3463853
< 0.1%
23.2868493
< 0.1%
22.7071332
< 0.1%
21.2205871
 
< 0.1%
21.0874972
< 0.1%
20.8638511
 
< 0.1%

f45
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct9000
Distinct (%)11.5%
Missing1627
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.7398233269
Minimum0
Maximum1
Zeros200
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:20.593252image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.34
Q10.7009
median0.79795
Q30.85165
95-th percentile0.90449
Maximum1
Range1
Interquartile range (IQR)0.15075

Descriptive statistics

Standard deviation0.1754531477
Coefficient of variation (CV)0.2371554685
Kurtosis3.019551418
Mean0.7398233269
Median Absolute Deviation (MAD)0.0651
Skewness-1.797695465
Sum57982.1736
Variance0.03078380704
MonotonicityNot monotonic
2021-10-14T12:20:20.689887image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4319
 
0.4%
0.39303
 
0.4%
0.38291
 
0.4%
0.42279
 
0.3%
0.41278
 
0.3%
0.37273
 
0.3%
0.43267
 
0.3%
0.44252
 
0.3%
0.36250
 
0.3%
0.35233
 
0.3%
Other values (8990)75628
94.5%
(Missing)1627
 
2.0%
ValueCountFrequency (%)
0200
0.2%
0.015
 
< 0.1%
0.01851
 
< 0.1%
0.0218
 
< 0.1%
0.0331
 
< 0.1%
0.039151
 
< 0.1%
0.039451
 
< 0.1%
0.0425
 
< 0.1%
0.0547
 
0.1%
0.056051
 
< 0.1%
ValueCountFrequency (%)
11
 
< 0.1%
0.993
 
< 0.1%
0.98561
 
< 0.1%
0.985451
 
< 0.1%
0.981551
 
< 0.1%
0.981251
 
< 0.1%
0.98031
 
< 0.1%
0.988
< 0.1%
0.976651
 
< 0.1%
0.975651
 
< 0.1%

f46
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7685
Distinct (%)9.8%
Missing1627
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.7377678854
Minimum0
Maximum1
Zeros695
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:20.786041image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.72091
median0.8107
Q30.86858
95-th percentile0.93131
Maximum1
Range1
Interquartile range (IQR)0.14767

Descriptive statistics

Standard deviation0.2321553754
Coefficient of variation (CV)0.3146726498
Kurtosis3.652255331
Mean0.7377678854
Median Absolute Deviation (MAD)0.0682
Skewness-2.125196073
Sum57821.08248
Variance0.05389611833
MonotonicityNot monotonic
2021-10-14T12:20:20.881828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.081588
 
2.0%
0.091264
 
1.6%
0.071126
 
1.4%
0.011101
 
1.4%
0695
 
0.9%
0.06512
 
0.6%
0.8252
 
0.3%
0.84905209
 
0.3%
0.85139208
 
0.3%
0.82997206
 
0.3%
Other values (7675)71212
89.0%
(Missing)1627
 
2.0%
ValueCountFrequency (%)
0695
0.9%
0.011101
1.4%
0.025
 
< 0.1%
0.0324
 
< 0.1%
0.03331
 
< 0.1%
0.0497
 
0.1%
0.05204
 
0.3%
0.06512
0.6%
0.065481
 
< 0.1%
0.068461
 
< 0.1%
ValueCountFrequency (%)
153
0.1%
0.992354
 
< 0.1%
0.992261
 
< 0.1%
0.992172
 
< 0.1%
0.992085
 
< 0.1%
0.991992
 
< 0.1%
0.99191
 
< 0.1%
0.991811
 
< 0.1%
0.991721
 
< 0.1%
0.991632
 
< 0.1%

f47
Real number (ℝ≥0)

HIGH CORRELATION

Distinct58059
Distinct (%)73.2%
Missing659
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.7440707855
Minimum0
Maximum1
Zeros331
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:20.982059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4736
Q10.692862
median0.786786
Q30.836178
95-th percentile0.874857
Maximum1
Range1
Interquartile range (IQR)0.143316

Descriptive statistics

Standard deviation0.1360880931
Coefficient of variation (CV)0.1828967026
Kurtosis5.319305527
Mean0.7440707855
Median Absolute Deviation (MAD)0.06068
Skewness-1.964464299
Sum59035.32019
Variance0.01851996909
MonotonicityNot monotonic
2021-10-14T12:20:21.074393image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0331
 
0.4%
0.812521
 
< 0.1%
0.820
 
< 0.1%
0.785717
 
< 0.1%
0.818216
 
< 0.1%
0.7515
 
< 0.1%
0.821415
 
< 0.1%
0.781815
 
< 0.1%
0.754414
 
< 0.1%
0.811414
 
< 0.1%
Other values (58049)78863
98.6%
(Missing)659
 
0.8%
ValueCountFrequency (%)
0331
0.4%
0.01851
 
< 0.1%
0.0373671
 
< 0.1%
0.039151
 
< 0.1%
0.039451
 
< 0.1%
0.046561
 
< 0.1%
0.0507291
 
< 0.1%
0.0541751
 
< 0.1%
0.0615671
 
< 0.1%
0.0648291
 
< 0.1%
ValueCountFrequency (%)
11
< 0.1%
0.99121
< 0.1%
0.99031
< 0.1%
0.985451
< 0.1%
0.98181
< 0.1%
0.98171
< 0.1%
0.98152
< 0.1%
0.98081
< 0.1%
0.981
< 0.1%
0.97751
< 0.1%

f48
Real number (ℝ≥0)

HIGH CORRELATION

Distinct160
Distinct (%)0.2%
Missing659
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean16.74898224
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:21.164057image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q322
95-th percentile55
Maximum163
Range162
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.13408686
Coefficient of variation (CV)1.082697838
Kurtosis6.953853916
Mean16.74898224
Median Absolute Deviation (MAD)7
Skewness2.319632083
Sum1328881
Variance328.8451063
MonotonicityNot monotonic
2021-10-14T12:20:21.259143image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26558
 
8.2%
35819
 
7.3%
45236
 
6.5%
54750
 
5.9%
64210
 
5.3%
73788
 
4.7%
83394
 
4.2%
93087
 
3.9%
102779
 
3.5%
112525
 
3.2%
Other values (150)37195
46.5%
ValueCountFrequency (%)
1769
 
1.0%
26558
8.2%
35819
7.3%
45236
6.5%
54750
5.9%
64210
5.3%
73788
4.7%
83394
4.2%
93087
3.9%
102779
3.5%
ValueCountFrequency (%)
1631
< 0.1%
1591
< 0.1%
1582
< 0.1%
1571
< 0.1%
1561
< 0.1%
1551
< 0.1%
1541
< 0.1%
1531
< 0.1%
1521
< 0.1%
1511
< 0.1%

f49
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9923
Distinct (%)12.4%
Missing90
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6668454818
Minimum0
Maximum0.97
Zeros520
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:21.360235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.23449
Q10.6142125
median0.7326
Q30.79095
95-th percentile0.8525
Maximum0.97
Range0.97
Interquartile range (IQR)0.1767375

Descriptive statistics

Standard deviation0.189487532
Coefficient of variation (CV)0.2841550811
Kurtosis1.959471259
Mean0.6668454818
Median Absolute Deviation (MAD)0.07335
Skewness-1.565305718
Sum53287.62245
Variance0.03590552477
MonotonicityNot monotonic
2021-10-14T12:20:21.455825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0520
 
0.7%
0.37302
 
0.4%
0.35299
 
0.4%
0.36278
 
0.3%
0.33269
 
0.3%
0.38266
 
0.3%
0.34254
 
0.3%
0.39253
 
0.3%
0.32245
 
0.3%
0.19231
 
0.3%
Other values (9913)76993
96.2%
ValueCountFrequency (%)
0520
0.7%
0.01188
 
0.2%
0.018351
 
< 0.1%
0.0283
 
0.1%
0.029751
 
< 0.1%
0.0398
 
0.1%
0.0361
 
< 0.1%
0.03781
 
< 0.1%
0.0472
 
0.1%
0.05103
 
0.1%
ValueCountFrequency (%)
0.971
 
< 0.1%
0.95721
 
< 0.1%
0.95551
 
< 0.1%
0.954351
 
< 0.1%
0.95231
 
< 0.1%
0.951551
 
< 0.1%
0.951251
 
< 0.1%
0.953
< 0.1%
0.94481
 
< 0.1%
0.944351
 
< 0.1%

f50
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct8836
Distinct (%)11.1%
Missing90
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6685548043
Minimum0
Maximum1
Zeros1529
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:21.550912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q10.65013
median0.74771
Q30.80972
95-th percentile0.87911
Maximum1
Range1
Interquartile range (IQR)0.15959

Descriptive statistics

Standard deviation0.2374020629
Coefficient of variation (CV)0.3550973853
Kurtosis2.13142643
Mean0.6685548043
Median Absolute Deviation (MAD)0.07263
Skewness-1.78787033
Sum53424.21441
Variance0.05635973948
MonotonicityNot monotonic
2021-10-14T12:20:21.647000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01529
 
1.9%
0.081495
 
1.9%
0.071474
 
1.8%
0.011213
 
1.5%
0.06911
 
1.1%
0.09545
 
0.7%
0.05345
 
0.4%
0.81224344
 
0.4%
0.79694337
 
0.4%
0.80459335
 
0.4%
Other values (8826)71382
89.2%
ValueCountFrequency (%)
01529
1.9%
0.011213
1.5%
0.02133
 
0.2%
0.024862
 
< 0.1%
0.03165
 
0.2%
0.033031
 
< 0.1%
0.04135
 
0.2%
0.05345
 
0.4%
0.053551
 
< 0.1%
0.057471
 
< 0.1%
ValueCountFrequency (%)
12
 
< 0.1%
0.9916
< 0.1%
0.983531
 
< 0.1%
0.983351
 
< 0.1%
0.982441
 
< 0.1%
0.982081
 
< 0.1%
0.98191
 
< 0.1%
0.981721
 
< 0.1%
0.981631
 
< 0.1%
0.981452
 
< 0.1%

f51
Real number (ℝ≥0)

HIGH CORRELATION

Distinct60758
Distinct (%)75.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6584110694
Minimum0
Maximum0.9808
Zeros550
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:21.745102image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3017563
Q10.589933
median0.716573
Q30.7737465
95-th percentile0.8198775
Maximum0.9808
Range0.9808
Interquartile range (IQR)0.1838135

Descriptive statistics

Standard deviation0.1659346514
Coefficient of variation (CV)0.2520228761
Kurtosis2.57594327
Mean0.6584110694
Median Absolute Deviation (MAD)0.072596
Skewness-1.610260826
Sum52671.56873
Variance0.02753430854
MonotonicityNot monotonic
2021-10-14T12:20:21.842433image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0550
 
0.7%
0.7669533
 
< 0.1%
0.783928
 
< 0.1%
0.7330527
 
< 0.1%
0.762726
 
< 0.1%
0.716124
 
< 0.1%
0.796623
 
< 0.1%
0.737322
 
< 0.1%
0.728822
 
< 0.1%
0.7522
 
< 0.1%
Other values (60748)79221
99.0%
ValueCountFrequency (%)
0550
0.7%
0.0056551
 
< 0.1%
0.009621
 
< 0.1%
0.0096521
 
< 0.1%
0.0110331
 
< 0.1%
0.0118251
 
< 0.1%
0.0120361
 
< 0.1%
0.012971
 
< 0.1%
0.0165731
 
< 0.1%
0.016761
 
< 0.1%
ValueCountFrequency (%)
0.98081
< 0.1%
0.97121
< 0.1%
0.95281
< 0.1%
0.948151
< 0.1%
0.9396671
< 0.1%
0.93561
< 0.1%
0.93511
< 0.1%
0.9288671
< 0.1%
0.92311
< 0.1%
0.92261
< 0.1%

f52
Real number (ℝ≥0)

HIGH CORRELATION

Distinct166
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17.29338233
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:21.936104image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median11
Q323
95-th percentile55
Maximum167
Range166
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.34231503
Coefficient of variation (CV)1.060655149
Kurtosis7.126771013
Mean17.29338233
Median Absolute Deviation (MAD)7
Skewness2.32147566
Sum1383436
Variance336.4405205
MonotonicityNot monotonic
2021-10-14T12:20:22.029189image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26251
 
7.8%
35652
 
7.1%
45108
 
6.4%
54686
 
5.9%
64179
 
5.2%
73766
 
4.7%
83413
 
4.3%
93152
 
3.9%
102826
 
3.5%
112579
 
3.2%
Other values (156)38386
48.0%
ValueCountFrequency (%)
171
 
0.1%
26251
7.8%
35652
7.1%
45108
6.4%
54686
5.9%
64179
5.2%
73766
4.7%
83413
4.3%
93152
3.9%
102826
3.5%
ValueCountFrequency (%)
1671
< 0.1%
1651
< 0.1%
1641
< 0.1%
1631
< 0.1%
1621
< 0.1%
1612
< 0.1%
1601
< 0.1%
1591
< 0.1%
1581
< 0.1%
1571
< 0.1%

f53
Real number (ℝ≥0)

HIGH CORRELATION

Distinct63493
Distinct (%)79.5%
Missing168
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1510093751
Minimum0
Maximum0.5
Zeros577
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:22.128279image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.025495
Q10.0590045
median0.0921155
Q30.261925
95-th percentile0.36114135
Maximum0.5
Range0.5
Interquartile range (IQR)0.2029205

Descriptive statistics

Standard deviation0.1163526959
Coefficient of variation (CV)0.7704998175
Kurtosis-1.000563195
Mean0.1510093751
Median Absolute Deviation (MAD)0.0515675
Skewness0.6909603159
Sum12055.38043
Variance0.01353794985
MonotonicityNot monotonic
2021-10-14T12:20:22.226368image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0577
 
0.7%
0.0044737
 
< 0.1%
0.00534
 
< 0.1%
0.0067130
 
< 0.1%
0.0031625
 
< 0.1%
0.0015824
 
< 0.1%
0.00612524
 
< 0.1%
0.01224523
 
< 0.1%
0.00632522
 
< 0.1%
0.00880522
 
< 0.1%
Other values (63483)79014
98.8%
(Missing)168
 
0.2%
ValueCountFrequency (%)
0577
0.7%
0.001491
 
< 0.1%
0.0015824
 
< 0.1%
0.0017681
 
< 0.1%
0.00223513
 
< 0.1%
0.00251
 
< 0.1%
0.0025831
 
< 0.1%
0.0027413
 
< 0.1%
0.002791
 
< 0.1%
0.0031625
 
< 0.1%
ValueCountFrequency (%)
0.51
< 0.1%
0.4763851
< 0.1%
0.4748581
< 0.1%
0.472491
< 0.1%
0.4714031
< 0.1%
0.4680081
< 0.1%
0.4661791
< 0.1%
0.465521
< 0.1%
0.464831
< 0.1%
0.4638431
< 0.1%

f54
Real number (ℝ)

HIGH CORRELATION

Distinct76487
Distinct (%)96.5%
Missing742
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean-0.5491442992
Minimum-22.64188
Maximum24.270357
Zeros7
Zeros (%)< 0.1%
Negative60660
Negative (%)75.8%
Memory size625.1 KiB
2021-10-14T12:20:22.319958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-22.64188
5-th percentile-1.49752575
Q1-1.08317725
median-0.850443
Q3-0.28464375
95-th percentile1.0255874
Maximum24.270357
Range46.912237
Interquartile range (IQR)0.7985335

Descriptive statistics

Standard deviation1.071461023
Coefficient of variation (CV)-1.951146583
Kurtosis66.10749059
Mean-0.5491442992
Median Absolute Deviation (MAD)0.293724
Skewness3.254406781
Sum-43524.07886
Variance1.148028723
MonotonicityNot monotonic
2021-10-14T12:20:22.413358image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07
 
< 0.1%
2.6116957
 
< 0.1%
-0.0887846
 
< 0.1%
1.7907586
 
< 0.1%
7 × 10-66
 
< 0.1%
3.2187625
 
< 0.1%
1.3927925
 
< 0.1%
-1.442165
 
< 0.1%
-0.0775775
 
< 0.1%
-7.7694075
 
< 0.1%
Other values (76477)79201
99.0%
(Missing)742
 
0.9%
ValueCountFrequency (%)
-22.641881
< 0.1%
-16.3504461
< 0.1%
-14.6519061
< 0.1%
-12.5895591
< 0.1%
-12.2013691
< 0.1%
-11.8860461
< 0.1%
-11.060422
< 0.1%
-10.9998661
< 0.1%
-10.9533681
< 0.1%
-10.9095341
< 0.1%
ValueCountFrequency (%)
24.2703572
< 0.1%
23.3463853
< 0.1%
23.2868493
< 0.1%
22.7071332
< 0.1%
21.2205871
 
< 0.1%
20.8638511
 
< 0.1%
20.2610121
 
< 0.1%
20.0476111
 
< 0.1%
16.7814263
< 0.1%
16.7732711
 
< 0.1%

f55
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13152
Distinct (%)16.5%
Missing49
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.5015983771
Minimum0.0029
Maximum0.9003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:22.510984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.0029
5-th percentile0.214725
Q10.43055
median0.5255
Q30.5987
95-th percentile0.69005
Maximum0.9003
Range0.8974
Interquartile range (IQR)0.16815

Descriptive statistics

Standard deviation0.1411110715
Coefficient of variation (CV)0.2813228231
Kurtosis0.7374667711
Mean0.5015983771
Median Absolute Deviation (MAD)0.08185
Skewness-0.8631455494
Sum40103.29185
Variance0.01991233451
MonotonicityNot monotonic
2021-10-14T12:20:22.599064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.582334
 
< 0.1%
0.551634
 
< 0.1%
0.637133
 
< 0.1%
0.5437531
 
< 0.1%
0.5530530
 
< 0.1%
0.515830
 
< 0.1%
0.554930
 
< 0.1%
0.5946530
 
< 0.1%
0.5830529
 
< 0.1%
0.5630529
 
< 0.1%
Other values (13142)79641
99.6%
(Missing)49
 
0.1%
ValueCountFrequency (%)
0.00291
< 0.1%
0.009151
< 0.1%
0.01031
< 0.1%
0.011751
< 0.1%
0.012051
< 0.1%
0.012851
< 0.1%
0.014051
< 0.1%
0.01411
< 0.1%
0.014151
< 0.1%
0.015151
< 0.1%
ValueCountFrequency (%)
0.90031
< 0.1%
0.89621
< 0.1%
0.891
< 0.1%
0.88781
< 0.1%
0.881
< 0.1%
0.874651
< 0.1%
0.874151
< 0.1%
0.873951
< 0.1%
0.87131
< 0.1%
0.870051
< 0.1%

f56
Real number (ℝ≥0)

HIGH CORRELATION

Distinct28640
Distinct (%)35.8%
Missing49
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.5056926784
Minimum0
Maximum0.99
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:22.690147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.10517
Q10.429375
median0.53482
Q30.61988
95-th percentile0.7261
Maximum0.99
Range0.99
Interquartile range (IQR)0.190505

Descriptive statistics

Standard deviation0.1684652281
Coefficient of variation (CV)0.3331375661
Kurtosis0.7095817445
Mean0.5056926784
Median Absolute Deviation (MAD)0.09317
Skewness-0.9166290179
Sum40430.63533
Variance0.02838053307
MonotonicityNot monotonic
2021-10-14T12:20:22.784232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6234942
 
0.1%
0.591941
 
0.1%
0.5585137
 
< 0.1%
0.5032436
 
< 0.1%
0.5994634
 
< 0.1%
0.5485134
 
< 0.1%
0.5901934
 
< 0.1%
0.5860534
 
< 0.1%
0.5885733
 
< 0.1%
0.5681433
 
< 0.1%
Other values (28630)79593
99.5%
(Missing)49
 
0.1%
ValueCountFrequency (%)
02
< 0.1%
0.000541
< 0.1%
0.000991
< 0.1%
0.003151
< 0.1%
0.003691
< 0.1%
0.005131
< 0.1%
0.005221
< 0.1%
0.007111
< 0.1%
0.007291
< 0.1%
0.007381
< 0.1%
ValueCountFrequency (%)
0.992
< 0.1%
0.983
< 0.1%
0.973161
 
< 0.1%
0.973
< 0.1%
0.963
< 0.1%
0.959571
 
< 0.1%
0.957581
 
< 0.1%
0.957051
 
< 0.1%
0.955981
 
< 0.1%
0.951461
 
< 0.1%

f57
Real number (ℝ≥0)

HIGH CORRELATION

Distinct62355
Distinct (%)77.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.4858239449
Minimum0.00755
Maximum0.9615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:22.882601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.00755
5-th percentile0.23650935
Q10.41676425
median0.512954
Q30.576959
95-th percentile0.64686465
Maximum0.9615
Range0.95395
Interquartile range (IQR)0.16019475

Descriptive statistics

Standard deviation0.1272038398
Coefficient of variation (CV)0.2618311452
Kurtosis0.7225425123
Mean0.4858239449
Median Absolute Deviation (MAD)0.0757975
Skewness-0.9184819335
Sum38864.94395
Variance0.01618081687
MonotonicityNot monotonic
2021-10-14T12:20:22.980188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.558913
 
< 0.1%
0.519912
 
< 0.1%
0.517911
 
< 0.1%
0.489111
 
< 0.1%
0.553610
 
< 0.1%
0.512910
 
< 0.1%
0.508610
 
< 0.1%
0.528610
 
< 0.1%
0.532110
 
< 0.1%
0.470310
 
< 0.1%
Other values (62345)79891
99.9%
ValueCountFrequency (%)
0.007551
< 0.1%
0.00811
< 0.1%
0.00971
< 0.1%
0.010251
< 0.1%
0.010351
< 0.1%
0.010551
< 0.1%
0.011551
< 0.1%
0.0123671
< 0.1%
0.01431
< 0.1%
0.01611
< 0.1%
ValueCountFrequency (%)
0.96151
< 0.1%
0.891
< 0.1%
0.8683331
< 0.1%
0.85161
< 0.1%
0.8481
< 0.1%
0.8334671
< 0.1%
0.82391
< 0.1%
0.81851
< 0.1%
0.8037571
< 0.1%
0.803161
< 0.1%

f58
Real number (ℝ≥0)

HIGH CORRELATION

Distinct166
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17.30270757
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:23.074551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median11
Q323
95-th percentile55
Maximum167
Range166
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.34998563
Coefficient of variation (CV)1.060526831
Kurtosis7.121396944
Mean17.30270757
Median Absolute Deviation (MAD)7
Skewness2.321358532
Sum1384182
Variance336.7219725
MonotonicityNot monotonic
2021-10-14T12:20:23.170665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26250
 
7.8%
35656
 
7.1%
45115
 
6.4%
54692
 
5.9%
64179
 
5.2%
73769
 
4.7%
83418
 
4.3%
93154
 
3.9%
102826
 
3.5%
112579
 
3.2%
Other values (156)38360
47.9%
ValueCountFrequency (%)
134
 
< 0.1%
26250
7.8%
35656
7.1%
45115
6.4%
54692
5.9%
64179
5.2%
73769
4.7%
83418
4.3%
93154
3.9%
102826
3.5%
ValueCountFrequency (%)
1671
< 0.1%
1651
< 0.1%
1641
< 0.1%
1631
< 0.1%
1621
< 0.1%
1612
< 0.1%
1601
< 0.1%
1591
< 0.1%
1581
< 0.1%
1571
< 0.1%

f59
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct8777
Distinct (%)11.2%
Missing1455
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.7193648272
Minimum0
Maximum0.96555
Zeros245
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:23.273212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.32181
Q10.6786
median0.7784
Q30.83215
95-th percentile0.8835
Maximum0.96555
Range0.96555
Interquartile range (IQR)0.15355

Descriptive statistics

Standard deviation0.1749917614
Coefficient of variation (CV)0.2432587121
Kurtosis2.833359427
Mean0.7193648272
Median Absolute Deviation (MAD)0.0657
Skewness-1.761435067
Sum56502.51035
Variance0.03062211655
MonotonicityNot monotonic
2021-10-14T12:20:23.374506image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.39334
 
0.4%
0.38326
 
0.4%
0.37313
 
0.4%
0.41310
 
0.4%
0.4292
 
0.4%
0.34268
 
0.3%
0.42267
 
0.3%
0.35262
 
0.3%
0.36253
 
0.3%
0245
 
0.3%
Other values (8767)75675
94.6%
(Missing)1455
 
1.8%
ValueCountFrequency (%)
0245
0.3%
0.0113
 
< 0.1%
0.017851
 
< 0.1%
0.0220
 
< 0.1%
0.0331
 
< 0.1%
0.03781
 
< 0.1%
0.039151
 
< 0.1%
0.0427
 
< 0.1%
0.0560
 
0.1%
0.05311
 
< 0.1%
ValueCountFrequency (%)
0.965551
 
< 0.1%
0.96291
 
< 0.1%
0.962751
 
< 0.1%
0.968
< 0.1%
0.95741
 
< 0.1%
0.956751
 
< 0.1%
0.95661
 
< 0.1%
0.955551
 
< 0.1%
0.954351
 
< 0.1%
0.95371
 
< 0.1%

f60
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7094
Distinct (%)9.0%
Missing1455
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.7180575292
Minimum0
Maximum1
Zeros773
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:23.471594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07
Q10.70162
median0.79125
Q30.8487
95-th percentile0.90701
Maximum1
Range1
Interquartile range (IQR)0.14708

Descriptive statistics

Standard deviation0.228731495
Coefficient of variation (CV)0.3185420188
Kurtosis3.504707967
Mean0.7180575292
Median Absolute Deviation (MAD)0.06812
Skewness-2.098748744
Sum56399.82863
Variance0.05231809679
MonotonicityNot monotonic
2021-10-14T12:20:23.565271image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.081734
 
2.2%
0.071287
 
1.6%
0.011108
 
1.4%
0.09886
 
1.1%
0773
 
1.0%
0.06695
 
0.9%
0.82997299
 
0.4%
0.82214263
 
0.3%
0.82871256
 
0.3%
0.05252
 
0.3%
Other values (7084)70992
88.7%
(Missing)1455
 
1.8%
ValueCountFrequency (%)
0773
1.0%
0.011108
1.4%
0.028
 
< 0.1%
0.0329
 
< 0.1%
0.032131
 
< 0.1%
0.04114
 
0.1%
0.05252
 
0.3%
0.055031
 
< 0.1%
0.05811
 
< 0.1%
0.06695
0.9%
ValueCountFrequency (%)
14
 
< 0.1%
0.992171
 
< 0.1%
0.991992
 
< 0.1%
0.9934
< 0.1%
0.984611
 
< 0.1%
0.984522
 
< 0.1%
0.982711
 
< 0.1%
0.982351
 
< 0.1%
0.982261
 
< 0.1%
0.982084
 
< 0.1%

f61
Real number (ℝ≥0)

HIGH CORRELATION

Distinct57988
Distinct (%)73.0%
Missing611
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.7222342112
Minimum0
Maximum0.9712
Zeros382
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:23.660442image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4473278
Q10.668519
median0.76702
Q30.816933
95-th percentile0.8544392
Maximum0.9712
Range0.9712
Interquartile range (IQR)0.148414

Descriptive statistics

Standard deviation0.1380943368
Coefficient of variation (CV)0.1912043693
Kurtosis4.886620078
Mean0.7222342112
Median Absolute Deviation (MAD)0.061763
Skewness-1.914070097
Sum57337.45179
Variance0.01907004586
MonotonicityNot monotonic
2021-10-14T12:20:23.753628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0382
 
0.5%
0.7544
 
0.1%
0.823
 
< 0.1%
0.754420
 
< 0.1%
0.725718
 
< 0.1%
0.747817
 
< 0.1%
0.7938517
 
< 0.1%
0.796517
 
< 0.1%
0.780716
 
< 0.1%
0.836316
 
< 0.1%
Other values (57978)78819
98.5%
(Missing)611
 
0.8%
ValueCountFrequency (%)
0382
0.5%
0.017851
 
< 0.1%
0.03541
 
< 0.1%
0.03781
 
< 0.1%
0.039151
 
< 0.1%
0.046561
 
< 0.1%
0.04721
 
< 0.1%
0.0541751
 
< 0.1%
0.0579171
 
< 0.1%
0.0642861
 
< 0.1%
ValueCountFrequency (%)
0.97121
< 0.1%
0.96431
< 0.1%
0.95731
< 0.1%
0.956151
< 0.1%
0.95541
< 0.1%
0.9551
< 0.1%
0.95281
< 0.1%
0.9504331
< 0.1%
0.94961
< 0.1%
0.9487671
< 0.1%

f62
Real number (ℝ≥0)

HIGH CORRELATION

Distinct166
Distinct (%)0.2%
Missing611
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean16.80320951
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:23.846713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q322
95-th percentile55
Maximum167
Range166
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.25854171
Coefficient of variation (CV)1.08661037
Kurtosis7.180437584
Mean16.80320951
Median Absolute Deviation (MAD)7
Skewness2.348900733
Sum1333990
Variance333.3743455
MonotonicityNot monotonic
2021-10-14T12:20:23.940799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26573
 
8.2%
35832
 
7.3%
45246
 
6.6%
54760
 
5.9%
64216
 
5.3%
73795
 
4.7%
83396
 
4.2%
93099
 
3.9%
102786
 
3.5%
112526
 
3.2%
Other values (156)37160
46.5%
ValueCountFrequency (%)
1665
 
0.8%
26573
8.2%
35832
7.3%
45246
6.6%
54760
5.9%
64216
5.3%
73795
4.7%
83396
4.2%
93099
3.9%
102786
3.5%
ValueCountFrequency (%)
1671
< 0.1%
1651
< 0.1%
1641
< 0.1%
1631
< 0.1%
1621
< 0.1%
1612
< 0.1%
1601
< 0.1%
1591
< 0.1%
1581
< 0.1%
1571
< 0.1%

f63
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7927
Distinct (%)10.0%
Missing932
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean0.8563442783
Minimum0
Maximum1
Zeros73
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:24.038888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.47
Q10.83395
median0.90875
Q30.95
95-th percentile0.98
Maximum1
Range1
Interquartile range (IQR)0.11605

Descriptive statistics

Standard deviation0.1553132696
Coefficient of variation (CV)0.1813677904
Kurtosis6.055510436
Mean0.8563442783
Median Absolute Deviation (MAD)0.0502
Skewness-2.368484909
Sum67709.4294
Variance0.02412221172
MonotonicityNot monotonic
2021-10-14T12:20:24.132985image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.981508
 
1.9%
0.971330
 
1.7%
0.991306
 
1.6%
0.961076
 
1.3%
0.95758
 
0.9%
0.94644
 
0.8%
1576
 
0.7%
0.93523
 
0.7%
0.92370
 
0.5%
0.9278
 
0.3%
Other values (7917)70699
88.4%
(Missing)932
 
1.2%
ValueCountFrequency (%)
073
0.1%
0.011
 
< 0.1%
0.02061
 
< 0.1%
0.034
 
< 0.1%
0.043
 
< 0.1%
0.047851
 
< 0.1%
0.0515
 
< 0.1%
0.0619
 
< 0.1%
0.076
 
< 0.1%
0.0751
 
< 0.1%
ValueCountFrequency (%)
1576
0.7%
0.995756
 
< 0.1%
0.99573
 
< 0.1%
0.995656
 
< 0.1%
0.99569
 
< 0.1%
0.995554
 
< 0.1%
0.99557
 
< 0.1%
0.995456
 
< 0.1%
0.995414
 
< 0.1%
0.9953534
 
< 0.1%

f64
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7492
Distinct (%)9.5%
Missing932
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean0.8536589381
Minimum0
Maximum1
Zeros242
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:24.226574image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.84159
median0.91943
Q30.9648
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.12321

Descriptive statistics

Standard deviation0.2095121584
Coefficient of variation (CV)0.245428413
Kurtosis7.831954028
Mean0.8536589381
Median Absolute Deviation (MAD)0.05398
Skewness-2.852907635
Sum67497.10492
Variance0.04389534454
MonotonicityNot monotonic
2021-10-14T12:20:24.326665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14257
 
5.3%
0.992869
 
3.6%
0.091207
 
1.5%
0.1887
 
1.1%
0.08662
 
0.8%
0.98624
 
0.8%
0.01591
 
0.7%
0.07351
 
0.4%
0.91347
 
0.4%
0242
 
0.3%
Other values (7482)67031
83.8%
(Missing)932
 
1.2%
ValueCountFrequency (%)
0242
0.3%
0.01591
0.7%
0.021
 
< 0.1%
0.0310
 
< 0.1%
0.037081
 
< 0.1%
0.0429
 
< 0.1%
0.0565
 
0.1%
0.06153
 
0.2%
0.07351
0.4%
0.079181
 
< 0.1%
ValueCountFrequency (%)
14257
5.3%
0.9923518
 
< 0.1%
0.992264
 
< 0.1%
0.9921715
 
< 0.1%
0.9920834
 
< 0.1%
0.9919922
 
< 0.1%
0.991924
 
< 0.1%
0.9918150
 
0.1%
0.9917289
 
0.1%
0.99163214
 
0.3%

f65
Real number (ℝ≥0)

HIGH CORRELATION

Distinct54522
Distinct (%)68.3%
Missing129
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.8603265024
Minimum0
Maximum1
Zeros129
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:24.423753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6301805
Q10.8252755
median0.90168
Q30.933341
95-th percentile0.96532
Maximum1
Range1
Interquartile range (IQR)0.1080655

Descriptive statistics

Standard deviation0.1186667651
Coefficient of variation (CV)0.1379322441
Kurtosis9.11836113
Mean0.8603265024
Median Absolute Deviation (MAD)0.04142
Skewness-2.492138477
Sum68715.13807
Variance0.01408180114
MonotonicityNot monotonic
2021-10-14T12:20:24.517839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1193
 
0.2%
0129
 
0.2%
0.528
 
< 0.1%
0.945718
 
< 0.1%
0.930217
 
< 0.1%
0.936615
 
< 0.1%
0.956515
 
< 0.1%
0.989815
 
< 0.1%
0.93515
 
< 0.1%
0.914414
 
< 0.1%
Other values (54512)79412
99.3%
(Missing)129
 
0.2%
ValueCountFrequency (%)
0129
0.2%
0.02061
 
< 0.1%
0.047851
 
< 0.1%
0.0591
 
< 0.1%
0.0655671
 
< 0.1%
0.0722251
 
< 0.1%
0.0751
 
< 0.1%
0.0918331
 
< 0.1%
0.094051
 
< 0.1%
0.1025671
 
< 0.1%
ValueCountFrequency (%)
1193
0.2%
0.9993931
 
< 0.1%
0.9984171
 
< 0.1%
0.998181
 
< 0.1%
0.99812
 
< 0.1%
0.99791
 
< 0.1%
0.9976751
 
< 0.1%
0.9976251
 
< 0.1%
0.9975752
 
< 0.1%
0.99741
 
< 0.1%

f66
Real number (ℝ≥0)

HIGH CORRELATION

Distinct60330
Distinct (%)75.9%
Missing525
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean0.1295581364
Minimum0
Maximum0.5
Zeros388
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:24.610924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0199437
Q10.0508945
median0.076837
Q30.1719755
95-th percentile0.3843416
Maximum0.5
Range0.5
Interquartile range (IQR)0.121081

Descriptive statistics

Standard deviation0.1174859875
Coefficient of variation (CV)0.9068206041
Kurtosis0.2746718269
Mean0.1295581364
Median Absolute Deviation (MAD)0.035792
Skewness1.254505402
Sum10296.63289
Variance0.01380295726
MonotonicityNot monotonic
2021-10-14T12:20:24.709013image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0388
 
0.5%
0.0031683
 
0.1%
0.0044754
 
0.1%
0.00474543
 
0.1%
0.00542
 
0.1%
0.00418540
 
0.1%
0.0063240
 
0.1%
0.0070739
 
< 0.1%
0.0054835
 
< 0.1%
0.00524531
 
< 0.1%
Other values (60320)78680
98.4%
(Missing)525
 
0.7%
ValueCountFrequency (%)
0388
0.5%
0.001491
 
< 0.1%
0.0015822
 
< 0.1%
0.0018273
 
< 0.1%
0.00223528
 
< 0.1%
0.0023572
 
< 0.1%
0.0025832
 
< 0.1%
0.0026051
 
< 0.1%
0.0027426
 
< 0.1%
0.002792
 
< 0.1%
ValueCountFrequency (%)
0.527
< 0.1%
0.4976651
 
< 0.1%
0.4966031
 
< 0.1%
0.4953552
 
< 0.1%
0.4951552
 
< 0.1%
0.495051
 
< 0.1%
0.49491
 
< 0.1%
0.494591
 
< 0.1%
0.4942851
 
< 0.1%
0.493981
 
< 0.1%

f67
Real number (ℝ≥0)

HIGH CORRELATION

Distinct8618
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.032168036
Minimum0
Maximum26.3747
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:24.800600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.4336
Q15.8344
median7.8045
Q39.9186
95-th percentile13.0614
Maximum26.3747
Range26.3747
Interquartile range (IQR)4.0842

Descriptive statistics

Standard deviation3.138372638
Coefficient of variation (CV)0.3907254708
Kurtosis2.491153711
Mean8.032168036
Median Absolute Deviation (MAD)2.0409
Skewness0.8792508405
Sum642573.4429
Variance9.849382814
MonotonicityNot monotonic
2021-10-14T12:20:24.894686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.637940
 
0.1%
10.854440
 
0.1%
14.951734
 
< 0.1%
9.201434
 
< 0.1%
7.454733
 
< 0.1%
6.753732
 
< 0.1%
11.146532
 
< 0.1%
9.809432
 
< 0.1%
26.374732
 
< 0.1%
11.550232
 
< 0.1%
Other values (8608)79659
99.6%
ValueCountFrequency (%)
011
< 0.1%
0.53911
 
< 0.1%
0.54463
 
< 0.1%
0.55964
 
< 0.1%
0.58974
 
< 0.1%
0.59323
 
< 0.1%
0.61213
 
< 0.1%
0.62161
 
< 0.1%
0.66072
 
< 0.1%
0.67862
 
< 0.1%
ValueCountFrequency (%)
26.374732
< 0.1%
25.381329
< 0.1%
24.077228
< 0.1%
23.919829
< 0.1%
23.905427
< 0.1%
23.894428
< 0.1%
22.865727
< 0.1%
22.558126
< 0.1%
22.520126
< 0.1%
22.308628
< 0.1%

f68
Real number (ℝ≥0)

HIGH CORRELATION

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.9116875
Minimum0
Maximum30
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:24.986361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q313
95-th percentile17
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.683976527
Coefficient of variation (CV)0.3376174883
Kurtosis2.045280559
Mean10.9116875
Median Absolute Deviation (MAD)2
Skewness0.7715645526
Sum872935
Variance13.57168305
MonotonicityNot monotonic
2021-10-14T12:20:25.066952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
129037
11.3%
118748
10.9%
98331
10.4%
108315
10.4%
87073
8.8%
136997
8.7%
75978
7.5%
145892
7.4%
63981
 
5.0%
153972
 
5.0%
Other values (21)11676
14.6%
ValueCountFrequency (%)
03
 
< 0.1%
16
 
< 0.1%
285
 
0.1%
3356
 
0.4%
41216
 
1.5%
52502
 
3.1%
63981
5.0%
75978
7.5%
87073
8.8%
98331
10.4%
ValueCountFrequency (%)
3072
 
0.1%
2987
0.1%
28108
0.1%
2754
 
0.1%
26135
0.2%
2525
 
< 0.1%
2497
0.1%
2393
0.1%
2249
 
0.1%
21211
0.3%

f69
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000719
Minimum-0.25
Maximum0.4
Zeros8186
Zeros (%)10.2%
Negative35917
Negative (%)44.9%
Memory size625.1 KiB
2021-10-14T12:20:25.161205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-0.25
5-th percentile-0.08
Q1-0.03
median0
Q30.03
95-th percentile0.08
Maximum0.4
Range0.65
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.05147233389
Coefficient of variation (CV)71.58878149
Kurtosis2.572434165
Mean0.000719
Median Absolute Deviation (MAD)0.03
Skewness0.4529998755
Sum57.52
Variance0.002649401157
MonotonicityNot monotonic
2021-10-14T12:20:25.262915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08186
 
10.2%
0.017047
 
8.8%
-0.016992
 
8.7%
-0.026464
 
8.1%
0.026281
 
7.9%
0.035287
 
6.6%
-0.035163
 
6.5%
0.044343
 
5.4%
-0.044243
 
5.3%
-0.053408
 
4.3%
Other values (54)22586
28.2%
ValueCountFrequency (%)
-0.253
 
< 0.1%
-0.242
 
< 0.1%
-0.232
 
< 0.1%
-0.221
 
< 0.1%
-0.218
 
< 0.1%
-0.29
 
< 0.1%
-0.1913
 
< 0.1%
-0.1824
 
< 0.1%
-0.1736
< 0.1%
-0.1662
0.1%
ValueCountFrequency (%)
0.41
 
< 0.1%
0.381
 
< 0.1%
0.371
 
< 0.1%
0.351
 
< 0.1%
0.346
< 0.1%
0.336
< 0.1%
0.326
< 0.1%
0.318
< 0.1%
0.314
< 0.1%
0.298
< 0.1%

f70
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00142025
Minimum-0.31
Maximum0.42
Zeros8856
Zeros (%)11.1%
Negative35867
Negative (%)44.8%
Memory size625.1 KiB
2021-10-14T12:20:25.367002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-0.31
5-th percentile-0.09
Q1-0.03
median0
Q30.03
95-th percentile0.1
Maximum0.42
Range0.73
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.05819110944
Coefficient of variation (CV)40.97244108
Kurtosis2.427661646
Mean0.00142025
Median Absolute Deviation (MAD)0.03
Skewness0.3977860141
Sum113.62
Variance0.003386205218
MonotonicityNot monotonic
2021-10-14T12:20:25.467093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08856
 
11.1%
-0.016521
 
8.2%
0.016189
 
7.7%
-0.025861
 
7.3%
0.025557
 
6.9%
-0.034935
 
6.2%
0.034484
 
5.6%
-0.044123
 
5.2%
0.044065
 
5.1%
-0.053357
 
4.2%
Other values (62)26052
32.6%
ValueCountFrequency (%)
-0.312
 
< 0.1%
-0.291
 
< 0.1%
-0.283
 
< 0.1%
-0.273
 
< 0.1%
-0.269
 
< 0.1%
-0.256
 
< 0.1%
-0.246
 
< 0.1%
-0.2318
< 0.1%
-0.2227
< 0.1%
-0.2133
< 0.1%
ValueCountFrequency (%)
0.422
 
< 0.1%
0.42
 
< 0.1%
0.392
 
< 0.1%
0.382
 
< 0.1%
0.372
 
< 0.1%
0.361
 
< 0.1%
0.356
< 0.1%
0.3410
< 0.1%
0.337
< 0.1%
0.3212
< 0.1%

f71
Real number (ℝ≥0)

ZEROS

Distinct4863
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08591835375
Minimum0
Maximum1
Zeros864
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:25.574190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0007
Q10.0106
median0.0336
Q30.1048
95-th percentile0.318225
Maximum1
Range1
Interquartile range (IQR)0.0942

Descriptive statistics

Standard deviation0.1437685542
Coefficient of variation (CV)1.673315979
Kurtosis16.22279808
Mean0.08591835375
Median Absolute Deviation (MAD)0.0295
Skewness3.658605962
Sum6873.4683
Variance0.02066939718
MonotonicityNot monotonic
2021-10-14T12:20:25.677287image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0864
 
1.1%
0.0001698
 
0.9%
0.0002585
 
0.7%
0.0003533
 
0.7%
0.0004505
 
0.6%
0.0005419
 
0.5%
0.0014413
 
0.5%
0.0008404
 
0.5%
0.0007394
 
0.5%
0.0015380
 
0.5%
Other values (4853)74805
93.5%
ValueCountFrequency (%)
0864
1.1%
0.0001698
0.9%
0.0002585
0.7%
0.0003533
0.7%
0.0004505
0.6%
0.0005419
0.5%
0.0006333
 
0.4%
0.0007394
0.5%
0.0008404
0.5%
0.0009334
 
0.4%
ValueCountFrequency (%)
184
0.1%
0.99999
 
< 0.1%
0.99984
 
< 0.1%
0.99975
 
< 0.1%
0.99963
 
< 0.1%
0.99952
 
< 0.1%
0.99944
 
< 0.1%
0.99935
 
< 0.1%
0.99925
 
< 0.1%
0.99914
 
< 0.1%

f72
Real number (ℝ)

MISSING
ZEROS

Distinct1901
Distinct (%)2.6%
Missing6881
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.010974712
Minimum-1
Maximum94.58
Zeros2084
Zeros (%)2.6%
Negative35594
Negative (%)44.5%
Memory size625.1 KiB
2021-10-14T12:20:25.776969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.11
median0
Q30.11
95-th percentile5.772
Maximum94.58
Range95.58
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation6.855873791
Coefficient of variation (CV)6.781449335
Kurtosis93.59990438
Mean1.010974712
Median Absolute Deviation (MAD)0.11
Skewness9.213543353
Sum73921.46
Variance47.00300544
MonotonicityNot monotonic
2021-10-14T12:20:25.875283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17760
 
9.7%
-0.012106
 
2.6%
0.012097
 
2.6%
02084
 
2.6%
0.022052
 
2.6%
-0.021978
 
2.5%
0.031964
 
2.5%
-0.031928
 
2.4%
0.041911
 
2.4%
-0.041863
 
2.3%
Other values (1891)47376
59.2%
(Missing)6881
 
8.6%
ValueCountFrequency (%)
-17760
9.7%
-0.992
 
< 0.1%
-0.981
 
< 0.1%
-0.973
 
< 0.1%
-0.942
 
< 0.1%
-0.932
 
< 0.1%
-0.921
 
< 0.1%
-0.914
 
< 0.1%
-0.91
 
< 0.1%
-0.891
 
< 0.1%
ValueCountFrequency (%)
94.581
< 0.1%
91.971
< 0.1%
91.921
< 0.1%
91.681
< 0.1%
91.311
< 0.1%
91.041
< 0.1%
90.871
< 0.1%
89.831
< 0.1%
89.522
< 0.1%
89.161
< 0.1%

f73
Real number (ℝ≥0)

HIGH CORRELATION

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3336375
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:25.958323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q18
median8
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429029057
Coefficient of variation (CV)0.1714772279
Kurtosis6.401880913
Mean8.3336375
Median Absolute Deviation (MAD)1
Skewness-1.982479495
Sum666691
Variance2.042124045
MonotonicityNot monotonic
2021-10-14T12:20:26.024955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
828218
35.3%
926090
32.6%
1013481
16.9%
75661
 
7.1%
63948
 
4.9%
41007
 
1.3%
3558
 
0.7%
2553
 
0.7%
1412
 
0.5%
1172
 
0.1%
ValueCountFrequency (%)
1412
 
0.5%
2553
 
0.7%
3558
 
0.7%
41007
 
1.3%
63948
 
4.9%
75661
 
7.1%
828218
35.3%
926090
32.6%
1013481
16.9%
1172
 
0.1%
ValueCountFrequency (%)
1172
 
0.1%
1013481
16.9%
926090
32.6%
828218
35.3%
75661
 
7.1%
63948
 
4.9%
41007
 
1.3%
3558
 
0.7%
2553
 
0.7%
1412
 
0.5%

f74
Real number (ℝ≥0)

HIGH CORRELATION

Distinct165
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.320975
Minimum2
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:26.108395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median11
Q323
95-th percentile55
Maximum167
Range165
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.34769285
Coefficient of variation (CV)1.059275985
Kurtosis7.117642811
Mean17.320975
Median Absolute Deviation (MAD)7
Skewness2.320256093
Sum1385678
Variance336.637833
MonotonicityNot monotonic
2021-10-14T12:20:26.203068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26242
 
7.8%
35644
 
7.1%
45105
 
6.4%
54687
 
5.9%
64174
 
5.2%
73769
 
4.7%
83421
 
4.3%
93154
 
3.9%
102830
 
3.5%
112583
 
3.2%
Other values (155)38391
48.0%
ValueCountFrequency (%)
26242
7.8%
35644
7.1%
45105
6.4%
54687
5.9%
64174
5.2%
73769
4.7%
83421
4.3%
93154
3.9%
102830
3.5%
112583
3.2%
ValueCountFrequency (%)
1671
< 0.1%
1651
< 0.1%
1641
< 0.1%
1631
< 0.1%
1621
< 0.1%
1612
< 0.1%
1601
< 0.1%
1591
< 0.1%
1581
< 0.1%
1571
< 0.1%

f75
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1586
Distinct (%)2.0%
Missing268
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean6.338116064
Minimum1
Maximum52.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:26.305158image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.76
Q14.46
median6.06
Q37.9
95-th percentile10.8
Maximum52.62
Range51.62
Interquartile range (IQR)3.44

Descriptive statistics

Standard deviation2.53614999
Coefficient of variation (CV)0.4001425604
Kurtosis4.130496167
Mean6.338116064
Median Absolute Deviation (MAD)1.7
Skewness0.9208753237
Sum505350.67
Variance6.432056772
MonotonicityNot monotonic
2021-10-14T12:20:26.406935image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1151
 
0.2%
6150
 
0.2%
5.89150
 
0.2%
5.6149
 
0.2%
5.45147
 
0.2%
5145
 
0.2%
5.88144
 
0.2%
5.92143
 
0.2%
5.01142
 
0.2%
5.16142
 
0.2%
Other values (1576)78269
97.8%
(Missing)268
 
0.3%
ValueCountFrequency (%)
11
 
< 0.1%
1.041
 
< 0.1%
1.081
 
< 0.1%
1.122
< 0.1%
1.132
< 0.1%
1.141
 
< 0.1%
1.151
 
< 0.1%
1.161
 
< 0.1%
1.193
< 0.1%
1.21
 
< 0.1%
ValueCountFrequency (%)
52.621
< 0.1%
51.751
< 0.1%
30.311
< 0.1%
29.251
< 0.1%
28.981
< 0.1%
26.751
< 0.1%
25.81
< 0.1%
25.651
< 0.1%
25.571
< 0.1%
25.561
< 0.1%

f76
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1976
Distinct (%)2.5%
Missing268
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean6.327760623
Minimum1
Maximum89.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:26.509566image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.42
Q13.33
median5.77
Q38.64
95-th percentile13.01
Maximum89.62
Range88.62
Interquartile range (IQR)5.31

Descriptive statistics

Standard deviation3.732174246
Coefficient of variation (CV)0.5898096448
Kurtosis7.787160251
Mean6.327760623
Median Absolute Deviation (MAD)2.62
Skewness1.184261159
Sum504525.01
Variance13.9291246
MonotonicityNot monotonic
2021-10-14T12:20:26.605344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2185
 
0.2%
3.8178
 
0.2%
2.9172
 
0.2%
1.91170
 
0.2%
4.61170
 
0.2%
4.7169
 
0.2%
2.09165
 
0.2%
2.1161
 
0.2%
2.99156
 
0.2%
3.98156
 
0.2%
Other values (1966)78050
97.6%
(Missing)268
 
0.3%
ValueCountFrequency (%)
177
0.1%
1.01131
0.2%
1.02121
0.2%
1.0387
0.1%
1.0482
0.1%
1.0588
0.1%
1.0683
0.1%
1.0764
0.1%
1.0850
 
0.1%
1.09111
0.1%
ValueCountFrequency (%)
89.621
< 0.1%
89.581
< 0.1%
38.71
< 0.1%
38.031
< 0.1%
37.51
< 0.1%
37.481
< 0.1%
37.421
< 0.1%
37.41
< 0.1%
37.311
< 0.1%
37.31
< 0.1%

f77
Real number (ℝ≥0)

HIGH CORRELATION

Distinct682
Distinct (%)0.9%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean6.647313906
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:26.702039image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.54
Q16.16
median6.55
Q37.09
95-th percentile7.87
Maximum25
Range24
Interquartile range (IQR)0.93

Descriptive statistics

Standard deviation0.8043775048
Coefficient of variation (CV)0.1210079013
Kurtosis12.29700152
Mean6.647313906
Median Absolute Deviation (MAD)0.44
Skewness1.295641105
Sum530801.31
Variance0.6470231701
MonotonicityNot monotonic
2021-10-14T12:20:26.801331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.381060
 
1.3%
6.8799
 
1.0%
6.3753
 
0.9%
6.28722
 
0.9%
6.11706
 
0.9%
6.29704
 
0.9%
5.97688
 
0.9%
6.37676
 
0.8%
6.83657
 
0.8%
6.79630
 
0.8%
Other values (672)72457
90.6%
ValueCountFrequency (%)
13
 
< 0.1%
1.52
 
< 0.1%
1.61
 
< 0.1%
1.751
 
< 0.1%
210
< 0.1%
2.331
 
< 0.1%
2.51
 
< 0.1%
2.751
 
< 0.1%
314
< 0.1%
3.332
 
< 0.1%
ValueCountFrequency (%)
251
 
< 0.1%
22.51
 
< 0.1%
17.751
 
< 0.1%
175
< 0.1%
15.751
 
< 0.1%
154
< 0.1%
14.51
 
< 0.1%
14.41
 
< 0.1%
14.331
 
< 0.1%
143
< 0.1%

f78
Real number (ℝ≥0)

HIGH CORRELATION

Distinct38527
Distinct (%)48.2%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18623.506
Minimum1
Maximum65407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:26.899164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile545.55
Q14283
median15178.5
Q329734
95-th percentile46492.45
Maximum65407
Range65406
Interquartile range (IQR)25451

Descriptive statistics

Standard deviation15356.86114
Coefficient of variation (CV)0.8245956018
Kurtosis-0.4478856104
Mean18623.506
Median Absolute Deviation (MAD)11925
Skewness0.6595188279
Sum1487124201
Variance235833184
MonotonicityNot monotonic
2021-10-14T12:20:26.999891image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
922
 
< 0.1%
1319
 
< 0.1%
1019
 
< 0.1%
1818
 
< 0.1%
10918
 
< 0.1%
1918
 
< 0.1%
2917
 
< 0.1%
717
 
< 0.1%
1717
 
< 0.1%
2617
 
< 0.1%
Other values (38517)79670
99.6%
(Missing)148
 
0.2%
ValueCountFrequency (%)
12
 
< 0.1%
29
< 0.1%
311
< 0.1%
46
 
< 0.1%
59
< 0.1%
616
< 0.1%
717
< 0.1%
814
< 0.1%
922
< 0.1%
1019
< 0.1%
ValueCountFrequency (%)
654071
< 0.1%
653971
< 0.1%
653821
< 0.1%
653781
< 0.1%
653751
< 0.1%
653681
< 0.1%
653581
< 0.1%
653511
< 0.1%
653491
< 0.1%
653441
< 0.1%

f79
Real number (ℝ≥0)

HIGH CORRELATION

Distinct71390
Distinct (%)89.4%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean174347.7805
Minimum1
Maximum607645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:27.103427image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5127.65
Q140692
median144382.5
Q3280814.5
95-th percentile420768.35
Maximum607645
Range607644
Interquartile range (IQR)240122.5

Descriptive statistics

Standard deviation141895.2434
Coefficient of variation (CV)0.8138632049
Kurtosis-0.4692198305
Mean174347.7805
Median Absolute Deviation (MAD)113737.5
Skewness0.617139139
Sum1.392201897 × 1010
Variance2.01342601 × 1010
MonotonicityNot monotonic
2021-10-14T12:20:27.202031image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8116
 
< 0.1%
3615
 
< 0.1%
4914
 
< 0.1%
10013
 
< 0.1%
99
 
< 0.1%
259
 
< 0.1%
48
 
< 0.1%
1448
 
< 0.1%
1858
 
< 0.1%
2256
 
< 0.1%
Other values (71380)79746
99.7%
(Missing)148
 
0.2%
ValueCountFrequency (%)
12
 
< 0.1%
21
 
< 0.1%
48
< 0.1%
52
 
< 0.1%
99
< 0.1%
102
 
< 0.1%
131
 
< 0.1%
151
 
< 0.1%
165
< 0.1%
259
< 0.1%
ValueCountFrequency (%)
6076451
< 0.1%
6075931
< 0.1%
6074801
< 0.1%
6074641
< 0.1%
6074551
< 0.1%
6074061
< 0.1%
6073061
< 0.1%
6072571
< 0.1%
6072531
< 0.1%
6072281
< 0.1%

f80
Real number (ℝ)

HIGH CORRELATION

Distinct274
Distinct (%)0.3%
Missing278
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.9639976418
Minimum-1.08
Maximum2.11
Zeros128
Zeros (%)0.2%
Negative684
Negative (%)0.9%
Memory size625.1 KiB
2021-10-14T12:20:27.308138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1.08
5-th percentile0.72
Q10.88
median0.94
Q31.03
95-th percentile1.37
Maximum2.11
Range3.19
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.2459703857
Coefficient of variation (CV)0.2551566259
Kurtosis15.96921854
Mean0.9639976418
Median Absolute Deviation (MAD)0.07
Skewness-1.507069184
Sum76851.82
Variance0.06050143063
MonotonicityNot monotonic
2021-10-14T12:20:27.402849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.944331
 
5.4%
0.933682
 
4.6%
0.893304
 
4.1%
0.883289
 
4.1%
0.93203
 
4.0%
1.013193
 
4.0%
0.913065
 
3.8%
0.973055
 
3.8%
0.923015
 
3.8%
0.952604
 
3.3%
Other values (264)46981
58.7%
ValueCountFrequency (%)
-1.081
 
< 0.1%
-1.071
 
< 0.1%
-1.063
< 0.1%
-1.051
 
< 0.1%
-1.042
< 0.1%
-1.032
< 0.1%
-1.023
< 0.1%
-1.012
< 0.1%
-12
< 0.1%
-0.992
< 0.1%
ValueCountFrequency (%)
2.111
 
< 0.1%
2.11
 
< 0.1%
2.082
 
< 0.1%
2.079
 
< 0.1%
2.065
 
< 0.1%
2.054
 
< 0.1%
2.042
 
< 0.1%
2.033
 
< 0.1%
2.0217
 
< 0.1%
2.0162
0.1%

f81
Real number (ℝ)

HIGH CORRELATION

Distinct174
Distinct (%)0.2%
Missing278
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.499080053
Minimum-3.32
Maximum3.54
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size625.1 KiB
2021-10-14T12:20:27.500867image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-3.32
5-th percentile1.25
Q11.34
median1.4
Q31.47
95-th percentile2.47
Maximum3.54
Range6.86
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.3620347571
Coefficient of variation (CV)0.241504619
Kurtosis10.27417558
Mean1.499080053
Median Absolute Deviation (MAD)0.07
Skewness2.998531113
Sum119509.66
Variance0.1310691654
MonotonicityNot monotonic
2021-10-14T12:20:27.597068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.415075
 
6.3%
1.44675
 
5.8%
1.424202
 
5.3%
1.383964
 
5.0%
1.363799
 
4.7%
1.373567
 
4.5%
1.323192
 
4.0%
1.352908
 
3.6%
1.392450
 
3.1%
1.342412
 
3.0%
Other values (164)43478
54.3%
ValueCountFrequency (%)
-3.321
 
< 0.1%
-1.361
 
< 0.1%
-0.61
 
< 0.1%
0.821
 
< 0.1%
0.891
 
< 0.1%
0.91
 
< 0.1%
0.941
 
< 0.1%
0.961
 
< 0.1%
197
0.1%
1.012
 
< 0.1%
ValueCountFrequency (%)
3.5472
0.1%
3.5363
0.1%
3.52104
0.1%
3.51112
0.1%
3.545
0.1%
3.436
 
< 0.1%
3.4250
0.1%
3.4191
0.1%
3.420
 
< 0.1%
3.392
 
< 0.1%

f82
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct99
Distinct (%)0.1%
Missing268
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1050001254
Minimum0
Maximum1
Zeros1076
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:27.701905image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.01
Q30.13
95-th percentile0.51
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1748588481
Coefficient of variation (CV)1.665320374
Kurtosis3.465878158
Mean0.1050001254
Median Absolute Deviation (MAD)0
Skewness2.065723777
Sum8371.87
Variance0.03057561676
MonotonicityNot monotonic
2021-10-14T12:20:27.801960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0143142
53.9%
0.514200
 
5.2%
0.024189
 
5.2%
0.044153
 
5.2%
0.264129
 
5.2%
0.073778
 
4.7%
0.133714
 
4.6%
01076
 
1.3%
0.08812
 
1.0%
0.03564
 
0.7%
Other values (89)9975
 
12.5%
ValueCountFrequency (%)
01076
 
1.3%
0.0143142
53.9%
0.024189
 
5.2%
0.03564
 
0.7%
0.044153
 
5.2%
0.05524
 
0.7%
0.06113
 
0.1%
0.073778
 
4.7%
0.08812
 
1.0%
0.09154
 
0.2%
ValueCountFrequency (%)
11
 
< 0.1%
0.981
 
< 0.1%
0.963
 
< 0.1%
0.953
 
< 0.1%
0.9414
< 0.1%
0.935
 
< 0.1%
0.924
 
< 0.1%
0.9119
< 0.1%
0.97
 
< 0.1%
0.8916
< 0.1%

f83
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing268
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.09794912958
Minimum0
Maximum1
Zeros59080
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:27.885153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.9
Maximum1
Range1
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.2696422958
Coefficient of variation (CV)2.75288098
Kurtosis5.214502914
Mean0.09794912958
Median Absolute Deviation (MAD)0
Skewness2.667706053
Sum7809.68
Variance0.0727069677
MonotonicityNot monotonic
2021-10-14T12:20:27.958060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
059080
73.9%
0.96126
 
7.7%
0.096042
 
7.6%
0.016004
 
7.5%
0.1789
 
1.0%
0.99787
 
1.0%
0.91773
 
1.0%
1131
 
0.2%
(Missing)268
 
0.3%
ValueCountFrequency (%)
059080
73.9%
0.016004
 
7.5%
0.096042
 
7.6%
0.1789
 
1.0%
0.96126
 
7.7%
0.91773
 
1.0%
0.99787
 
1.0%
1131
 
0.2%
ValueCountFrequency (%)
1131
 
0.2%
0.99787
 
1.0%
0.91773
 
1.0%
0.96126
 
7.7%
0.1789
 
1.0%
0.096042
 
7.6%
0.016004
 
7.5%
059080
73.9%

f84
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct42
Distinct (%)0.1%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.09330799479
Minimum0
Maximum1
Zeros1194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:28.043908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.07
median0.09
Q30.11
95-th percentile0.16
Maximum1
Range1
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.03908229773
Coefficient of variation (CV)0.4188526162
Kurtosis17.4184618
Mean0.09330799479
Median Absolute Deviation (MAD)0.02
Skewness1.724487308
Sum7450.83
Variance0.001527425996
MonotonicityNot monotonic
2021-10-14T12:20:28.132815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0811749
14.7%
0.099789
12.2%
0.079554
11.9%
0.118379
10.5%
0.17303
9.1%
0.066919
8.6%
0.124350
 
5.4%
0.134120
 
5.1%
0.054050
 
5.1%
0.143224
 
4.0%
Other values (32)10415
13.0%
ValueCountFrequency (%)
01194
 
1.5%
0.01149
 
0.2%
0.02515
 
0.6%
0.03922
 
1.2%
0.041736
 
2.2%
0.054050
 
5.1%
0.066919
8.6%
0.079554
11.9%
0.0811749
14.7%
0.099789
12.2%
ValueCountFrequency (%)
13
 
< 0.1%
0.672
 
< 0.1%
0.61
 
< 0.1%
0.515
< 0.1%
0.432
 
< 0.1%
0.43
 
< 0.1%
0.383
 
< 0.1%
0.351
 
< 0.1%
0.3324
< 0.1%
0.321
 
< 0.1%

f85
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1590
Distinct (%)2.0%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean308.4346416
Minimum0
Maximum2016
Zeros1194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:28.220040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q156
median185
Q3447
95-th percentile944
Maximum2016
Range2016
Interquartile range (IQR)391

Descriptive statistics

Standard deviation339.519849
Coefficient of variation (CV)1.100783775
Kurtosis4.03522301
Mean308.4346416
Median Absolute Deviation (MAD)156
Skewness1.778552126
Sum24629123
Variance115273.7278
MonotonicityNot monotonic
2021-10-14T12:20:28.316001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
1.5%
1883
 
1.1%
2765
 
1.0%
5718
 
0.9%
4598
 
0.7%
3591
 
0.7%
12584
 
0.7%
11536
 
0.7%
9481
 
0.6%
23464
 
0.6%
Other values (1580)73038
91.3%
ValueCountFrequency (%)
01194
1.5%
1883
1.1%
2765
1.0%
3591
0.7%
4598
0.7%
5718
0.9%
6462
 
0.6%
7404
 
0.5%
8343
 
0.4%
9481
0.6%
ValueCountFrequency (%)
20162
 
< 0.1%
20152
 
< 0.1%
20144
 
< 0.1%
20132
 
< 0.1%
20127
< 0.1%
201110
< 0.1%
20103
 
< 0.1%
20093
 
< 0.1%
20085
< 0.1%
20073
 
< 0.1%

f86
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1590
Distinct (%)2.0%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean308.4346416
Minimum0
Maximum2016
Zeros1194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:28.416109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q156
median185
Q3447
95-th percentile944
Maximum2016
Range2016
Interquartile range (IQR)391

Descriptive statistics

Standard deviation339.519849
Coefficient of variation (CV)1.100783775
Kurtosis4.03522301
Mean308.4346416
Median Absolute Deviation (MAD)156
Skewness1.778552126
Sum24629123
Variance115273.7278
MonotonicityNot monotonic
2021-10-14T12:20:28.514054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
1.5%
1883
 
1.1%
2765
 
1.0%
5718
 
0.9%
4598
 
0.7%
3591
 
0.7%
12584
 
0.7%
11536
 
0.7%
9481
 
0.6%
23464
 
0.6%
Other values (1580)73038
91.3%
ValueCountFrequency (%)
01194
1.5%
1883
1.1%
2765
1.0%
3591
0.7%
4598
0.7%
5718
0.9%
6462
 
0.6%
7404
 
0.5%
8343
 
0.4%
9481
0.6%
ValueCountFrequency (%)
20162
 
< 0.1%
20152
 
< 0.1%
20144
 
< 0.1%
20132
 
< 0.1%
20127
< 0.1%
201110
< 0.1%
20103
 
< 0.1%
20093
 
< 0.1%
20085
< 0.1%
20073
 
< 0.1%

f87
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1590
Distinct (%)2.0%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean308.4346416
Minimum0
Maximum2016
Zeros1194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:28.611841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q156
median185
Q3447
95-th percentile944
Maximum2016
Range2016
Interquartile range (IQR)391

Descriptive statistics

Standard deviation339.519849
Coefficient of variation (CV)1.100783775
Kurtosis4.03522301
Mean308.4346416
Median Absolute Deviation (MAD)156
Skewness1.778552126
Sum24629123
Variance115273.7278
MonotonicityNot monotonic
2021-10-14T12:20:28.707722image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
1.5%
1883
 
1.1%
2765
 
1.0%
5718
 
0.9%
4598
 
0.7%
3591
 
0.7%
12584
 
0.7%
11536
 
0.7%
9481
 
0.6%
23464
 
0.6%
Other values (1580)73038
91.3%
ValueCountFrequency (%)
01194
1.5%
1883
1.1%
2765
1.0%
3591
0.7%
4598
0.7%
5718
0.9%
6462
 
0.6%
7404
 
0.5%
8343
 
0.4%
9481
0.6%
ValueCountFrequency (%)
20162
 
< 0.1%
20152
 
< 0.1%
20144
 
< 0.1%
20132
 
< 0.1%
20127
< 0.1%
201110
< 0.1%
20103
 
< 0.1%
20093
 
< 0.1%
20085
< 0.1%
20073
 
< 0.1%

f88
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1590
Distinct (%)2.0%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean308.4346416
Minimum0
Maximum2016
Zeros1194
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:28.807250image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q156
median185
Q3447
95-th percentile944
Maximum2016
Range2016
Interquartile range (IQR)391

Descriptive statistics

Standard deviation339.519849
Coefficient of variation (CV)1.100783775
Kurtosis4.03522301
Mean308.4346416
Median Absolute Deviation (MAD)156
Skewness1.778552126
Sum24629123
Variance115273.7278
MonotonicityNot monotonic
2021-10-14T12:20:28.905320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
1.5%
1883
 
1.1%
2765
 
1.0%
5718
 
0.9%
4598
 
0.7%
3591
 
0.7%
12584
 
0.7%
11536
 
0.7%
9481
 
0.6%
23464
 
0.6%
Other values (1580)73038
91.3%
ValueCountFrequency (%)
01194
1.5%
1883
1.1%
2765
1.0%
3591
0.7%
4598
0.7%
5718
0.9%
6462
 
0.6%
7404
 
0.5%
8343
 
0.4%
9481
0.6%
ValueCountFrequency (%)
20162
 
< 0.1%
20152
 
< 0.1%
20144
 
< 0.1%
20132
 
< 0.1%
20127
< 0.1%
201110
< 0.1%
20103
 
< 0.1%
20093
 
< 0.1%
20085
< 0.1%
20073
 
< 0.1%

f89
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct43
Distinct (%)0.1%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.2821791564
Minimum0
Maximum0.5
Zeros1197
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:28.997857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.26
median0.29
Q30.31
95-th percentile0.36
Maximum0.5
Range0.5
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.05919376935
Coefficient of variation (CV)0.2097737129
Kurtosis6.491330482
Mean0.2821791564
Median Absolute Deviation (MAD)0.03
Skewness-1.453056814
Sum22532.57
Variance0.00350390233
MonotonicityNot monotonic
2021-10-14T12:20:29.089272image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.278836
11.0%
0.298371
 
10.5%
0.317560
 
9.4%
0.266124
 
7.7%
0.35136
 
6.4%
0.285046
 
6.3%
0.254612
 
5.8%
0.244341
 
5.4%
0.334074
 
5.1%
0.343963
 
5.0%
Other values (33)21789
27.2%
ValueCountFrequency (%)
01197
1.5%
0.0927
 
< 0.1%
0.137
 
< 0.1%
0.1144
 
0.1%
0.1274
 
0.1%
0.13103
 
0.1%
0.14138
 
0.2%
0.15220
 
0.3%
0.16332
 
0.4%
0.17268
 
0.3%
ValueCountFrequency (%)
0.515
 
< 0.1%
0.496
 
< 0.1%
0.484
 
< 0.1%
0.4726
 
< 0.1%
0.466
 
< 0.1%
0.4511
 
< 0.1%
0.447
 
< 0.1%
0.43750
0.9%
0.4223
 
< 0.1%
0.41524
0.7%

f90
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct139
Distinct (%)0.2%
Missing1345
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.425490687
Minimum-0.88
Maximum2.3
Zeros15
Zeros (%)< 0.1%
Negative3
Negative (%)< 0.1%
Memory size625.1 KiB
2021-10-14T12:20:29.180920image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-0.88
5-th percentile1.23
Q11.35
median1.42
Q31.5
95-th percentile1.63
Maximum2.3
Range3.18
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.1312766452
Coefficient of variation (CV)0.09209225031
Kurtosis8.425660706
Mean1.425490687
Median Absolute Deviation (MAD)0.07
Skewness0.05704931083
Sum112121.97
Variance0.01723355757
MonotonicityNot monotonic
2021-10-14T12:20:29.275404image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.373747
 
4.7%
1.423426
 
4.3%
1.43225
 
4.0%
1.473124
 
3.9%
1.53105
 
3.9%
1.412989
 
3.7%
1.452832
 
3.5%
1.432777
 
3.5%
1.352775
 
3.5%
1.362771
 
3.5%
Other values (129)47884
59.9%
ValueCountFrequency (%)
-0.882
 
< 0.1%
-0.741
 
< 0.1%
015
< 0.1%
0.672
 
< 0.1%
0.743
 
< 0.1%
0.83
 
< 0.1%
0.851
 
< 0.1%
0.924
< 0.1%
0.931
 
< 0.1%
0.941
 
< 0.1%
ValueCountFrequency (%)
2.31
 
< 0.1%
2.292
< 0.1%
2.282
< 0.1%
2.271
 
< 0.1%
2.264
< 0.1%
2.252
< 0.1%
2.243
< 0.1%
2.231
 
< 0.1%
2.222
< 0.1%
2.214
< 0.1%

f91
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct212
Distinct (%)0.3%
Missing1345
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.759844638
Minimum1
Maximum3.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:29.369320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q11.64
median1.74
Q31.86
95-th percentile2.11
Maximum3.4
Range2.4
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.2131795061
Coefficient of variation (CV)0.1211354125
Kurtosis4.379106951
Mean1.759844638
Median Absolute Deviation (MAD)0.12
Skewness1.050853756
Sum138420.58
Variance0.04544550184
MonotonicityNot monotonic
2021-10-14T12:20:29.463539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.733364
 
4.2%
1.773134
 
3.9%
1.653109
 
3.9%
1.642966
 
3.7%
1.812731
 
3.4%
1.82700
 
3.4%
1.722626
 
3.3%
1.542483
 
3.1%
1.822468
 
3.1%
1.742381
 
3.0%
Other values (202)50693
63.4%
ValueCountFrequency (%)
115
< 0.1%
1.032
 
< 0.1%
1.044
 
< 0.1%
1.063
 
< 0.1%
1.081
 
< 0.1%
1.12
 
< 0.1%
1.113
 
< 0.1%
1.1221
< 0.1%
1.131
 
< 0.1%
1.141
 
< 0.1%
ValueCountFrequency (%)
3.41
 
< 0.1%
3.392
< 0.1%
3.381
 
< 0.1%
3.372
< 0.1%
3.362
< 0.1%
3.352
< 0.1%
3.344
< 0.1%
3.331
 
< 0.1%
3.322
< 0.1%
3.311
 
< 0.1%

f92
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct93
Distinct (%)0.1%
Missing268
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.104661491
Minimum0
Maximum0.96
Zeros994
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:29.558046image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.01
Q30.13
95-th percentile0.51
Maximum0.96
Range0.96
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1725030826
Coefficient of variation (CV)1.648200126
Kurtosis3.363304189
Mean0.104661491
Median Absolute Deviation (MAD)0
Skewness2.046283866
Sum8344.87
Variance0.02975731351
MonotonicityNot monotonic
2021-10-14T12:20:29.652035image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0142503
53.1%
0.514342
 
5.4%
0.024338
 
5.4%
0.264329
 
5.4%
0.044271
 
5.3%
0.073988
 
5.0%
0.133876
 
4.8%
0994
 
1.2%
0.08790
 
1.0%
0.03602
 
0.8%
Other values (83)9699
 
12.1%
ValueCountFrequency (%)
0994
 
1.2%
0.0142503
53.1%
0.024338
 
5.4%
0.03602
 
0.8%
0.044271
 
5.3%
0.05582
 
0.7%
0.06107
 
0.1%
0.073988
 
5.0%
0.08790
 
1.0%
0.09153
 
0.2%
ValueCountFrequency (%)
0.961
 
< 0.1%
0.955
 
< 0.1%
0.947
 
< 0.1%
0.922
 
< 0.1%
0.918
 
< 0.1%
0.95
 
< 0.1%
0.8911
 
< 0.1%
0.8863
0.1%
0.861
 
< 0.1%
0.857
 
< 0.1%

f93
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing268
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.09703005067
Minimum0
Maximum1
Zeros58919
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:29.728101image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.9
Maximum1
Range1
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.2680074871
Coefficient of variation (CV)2.762108082
Kurtosis5.320545066
Mean0.09703005067
Median Absolute Deviation (MAD)0
Skewness2.687050069
Sum7736.4
Variance0.07182801314
MonotonicityNot monotonic
2021-10-14T12:20:29.791049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
058919
73.6%
0.096218
 
7.8%
0.96151
 
7.7%
0.016112
 
7.6%
0.1754
 
0.9%
0.99740
 
0.9%
0.91736
 
0.9%
1102
 
0.1%
(Missing)268
 
0.3%
ValueCountFrequency (%)
058919
73.6%
0.016112
 
7.6%
0.096218
 
7.8%
0.1754
 
0.9%
0.96151
 
7.7%
0.91736
 
0.9%
0.99740
 
0.9%
1102
 
0.1%
ValueCountFrequency (%)
1102
 
0.1%
0.99740
 
0.9%
0.91736
 
0.9%
0.96151
 
7.7%
0.1754
 
0.9%
0.096218
 
7.8%
0.016112
 
7.6%
058919
73.6%

f94
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct39
Distinct (%)< 0.1%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.09276060712
Minimum0
Maximum1
Zeros1106
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:29.867039image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.08
median0.09
Q30.11
95-th percentile0.13
Maximum1
Range1
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.03001559829
Coefficient of variation (CV)0.3235813048
Kurtosis89.83293968
Mean0.09276060712
Median Absolute Deviation (MAD)0.01
Skewness3.224838759
Sum7407.12
Variance0.0009009361406
MonotonicityNot monotonic
2021-10-14T12:20:29.957626image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.114897
18.6%
0.0814114
17.6%
0.0912001
15.0%
0.077400
9.2%
0.127175
9.0%
0.136128
7.7%
0.065348
 
6.7%
0.114534
 
5.7%
0.052131
 
2.7%
0.161194
 
1.5%
Other values (29)4930
 
6.2%
ValueCountFrequency (%)
01106
 
1.4%
0.0150
 
0.1%
0.02229
 
0.3%
0.03353
 
0.4%
0.04983
 
1.2%
0.052131
 
2.7%
0.065348
 
6.7%
0.077400
9.2%
0.0814114
17.6%
0.0912001
15.0%
ValueCountFrequency (%)
18
< 0.1%
0.59
< 0.1%
0.421
 
< 0.1%
0.42
 
< 0.1%
0.381
 
< 0.1%
0.361
 
< 0.1%
0.3319
< 0.1%
0.312
 
< 0.1%
0.33
 
< 0.1%
0.295
 
< 0.1%

f95
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1296
Distinct (%)1.6%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean296.7665807
Minimum0
Maximum1328
Zeros1106
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:30.048938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q158
median196
Q3446
95-th percentile871
Maximum1328
Range1328
Interquartile range (IQR)388

Descriptive statistics

Standard deviation291.9944921
Coefficient of variation (CV)0.9839197238
Kurtosis0.5016616982
Mean296.7665807
Median Absolute Deviation (MAD)162
Skewness1.108664346
Sum23697405
Variance85260.78341
MonotonicityNot monotonic
2021-10-14T12:20:30.145063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01106
 
1.4%
1751
 
0.9%
3739
 
0.9%
2685
 
0.9%
5651
 
0.8%
15596
 
0.7%
11529
 
0.7%
8485
 
0.6%
18477
 
0.6%
4473
 
0.6%
Other values (1286)73360
91.7%
ValueCountFrequency (%)
01106
1.4%
1751
0.9%
2685
0.9%
3739
0.9%
4473
0.6%
5651
0.8%
6348
 
0.4%
7399
 
0.5%
8485
0.6%
9444
0.6%
ValueCountFrequency (%)
13284
 
< 0.1%
13273
 
< 0.1%
13262
 
< 0.1%
13245
 
< 0.1%
13232
 
< 0.1%
13225
 
< 0.1%
13213
 
< 0.1%
13208
< 0.1%
13192
 
< 0.1%
131814
< 0.1%

f96
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1296
Distinct (%)1.6%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean296.7665807
Minimum0
Maximum1328
Zeros1106
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:30.235156image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q158
median196
Q3446
95-th percentile871
Maximum1328
Range1328
Interquartile range (IQR)388

Descriptive statistics

Standard deviation291.9944921
Coefficient of variation (CV)0.9839197238
Kurtosis0.5016616982
Mean296.7665807
Median Absolute Deviation (MAD)162
Skewness1.108664346
Sum23697405
Variance85260.78341
MonotonicityNot monotonic
2021-10-14T12:20:30.331243image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01106
 
1.4%
1751
 
0.9%
3739
 
0.9%
2685
 
0.9%
5651
 
0.8%
15596
 
0.7%
11529
 
0.7%
8485
 
0.6%
18477
 
0.6%
4473
 
0.6%
Other values (1286)73360
91.7%
ValueCountFrequency (%)
01106
1.4%
1751
0.9%
2685
0.9%
3739
0.9%
4473
0.6%
5651
0.8%
6348
 
0.4%
7399
 
0.5%
8485
0.6%
9444
0.6%
ValueCountFrequency (%)
13284
 
< 0.1%
13273
 
< 0.1%
13262
 
< 0.1%
13245
 
< 0.1%
13232
 
< 0.1%
13225
 
< 0.1%
13213
 
< 0.1%
13208
< 0.1%
13192
 
< 0.1%
131814
< 0.1%

f97
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1296
Distinct (%)1.6%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean296.7665807
Minimum0
Maximum1328
Zeros1106
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:30.424337image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q158
median196
Q3446
95-th percentile871
Maximum1328
Range1328
Interquartile range (IQR)388

Descriptive statistics

Standard deviation291.9944921
Coefficient of variation (CV)0.9839197238
Kurtosis0.5016616982
Mean296.7665807
Median Absolute Deviation (MAD)162
Skewness1.108664346
Sum23697405
Variance85260.78341
MonotonicityNot monotonic
2021-10-14T12:20:30.521929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01106
 
1.4%
1751
 
0.9%
3739
 
0.9%
2685
 
0.9%
5651
 
0.8%
15596
 
0.7%
11529
 
0.7%
8485
 
0.6%
18477
 
0.6%
4473
 
0.6%
Other values (1286)73360
91.7%
ValueCountFrequency (%)
01106
1.4%
1751
0.9%
2685
0.9%
3739
0.9%
4473
0.6%
5651
0.8%
6348
 
0.4%
7399
 
0.5%
8485
0.6%
9444
0.6%
ValueCountFrequency (%)
13284
 
< 0.1%
13273
 
< 0.1%
13262
 
< 0.1%
13245
 
< 0.1%
13232
 
< 0.1%
13225
 
< 0.1%
13213
 
< 0.1%
13208
< 0.1%
13192
 
< 0.1%
131814
< 0.1%

f98
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1296
Distinct (%)1.6%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean296.7665807
Minimum0
Maximum1328
Zeros1106
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:30.611010image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q158
median196
Q3446
95-th percentile871
Maximum1328
Range1328
Interquartile range (IQR)388

Descriptive statistics

Standard deviation291.9944921
Coefficient of variation (CV)0.9839197238
Kurtosis0.5016616982
Mean296.7665807
Median Absolute Deviation (MAD)162
Skewness1.108664346
Sum23697405
Variance85260.78341
MonotonicityNot monotonic
2021-10-14T12:20:30.707098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01106
 
1.4%
1751
 
0.9%
3739
 
0.9%
2685
 
0.9%
5651
 
0.8%
15596
 
0.7%
11529
 
0.7%
8485
 
0.6%
18477
 
0.6%
4473
 
0.6%
Other values (1286)73360
91.7%
ValueCountFrequency (%)
01106
1.4%
1751
0.9%
2685
0.9%
3739
0.9%
4473
0.6%
5651
0.8%
6348
 
0.4%
7399
 
0.5%
8485
0.6%
9444
0.6%
ValueCountFrequency (%)
13284
 
< 0.1%
13273
 
< 0.1%
13262
 
< 0.1%
13245
 
< 0.1%
13232
 
< 0.1%
13225
 
< 0.1%
13213
 
< 0.1%
13208
< 0.1%
13192
 
< 0.1%
131814
< 0.1%

f99
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct42
Distinct (%)0.1%
Missing148
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.2839268897
Minimum0
Maximum0.5
Zeros1114
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:30.797180image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22
Q10.27
median0.29
Q30.31
95-th percentile0.34
Maximum0.5
Range0.5
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.04943276258
Coefficient of variation (CV)0.1741038428
Kurtosis13.47017945
Mean0.2839268897
Median Absolute Deviation (MAD)0.02
Skewness-2.627340445
Sum22672.13
Variance0.002443598016
MonotonicityNot monotonic
2021-10-14T12:20:30.890279image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.311152
13.9%
0.2710235
12.8%
0.299744
12.2%
0.286816
8.5%
0.336282
7.9%
0.315441
6.8%
0.325339
6.7%
0.265062
6.3%
0.254608
 
5.8%
0.343011
 
3.8%
Other values (32)12162
15.2%
ValueCountFrequency (%)
01114
1.4%
0.11
 
< 0.1%
0.1118
 
< 0.1%
0.1242
 
0.1%
0.1358
 
0.1%
0.1482
 
0.1%
0.1574
 
0.1%
0.1691
 
0.1%
0.17103
 
0.1%
0.18188
 
0.2%
ValueCountFrequency (%)
0.59
 
< 0.1%
0.494
 
< 0.1%
0.481
 
< 0.1%
0.4719
< 0.1%
0.466
 
< 0.1%
0.458
 
< 0.1%
0.443
 
< 0.1%
0.4325
< 0.1%
0.4210
 
< 0.1%
0.4116
< 0.1%

f100
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct118
Distinct (%)0.1%
Missing1262
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1.419306561
Minimum0
Maximum2.13
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:30.980361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.29
Q11.36
median1.41
Q31.47
95-th percentile1.57
Maximum2.13
Range2.13
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.0962692665
Coefficient of variation (CV)0.06782838123
Kurtosis9.053253575
Mean1.419306561
Median Absolute Deviation (MAD)0.06
Skewness0.4226837334
Sum111753.36
Variance0.009267771673
MonotonicityNot monotonic
2021-10-14T12:20:31.070957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.414554
 
5.7%
1.474259
 
5.3%
1.44169
 
5.2%
1.394034
 
5.0%
1.323969
 
5.0%
1.443882
 
4.9%
1.433696
 
4.6%
1.423607
 
4.5%
1.343239
 
4.0%
1.382979
 
3.7%
Other values (108)40350
50.4%
ValueCountFrequency (%)
09
< 0.1%
0.71
 
< 0.1%
0.742
 
< 0.1%
0.781
 
< 0.1%
0.831
 
< 0.1%
0.919
< 0.1%
0.942
 
< 0.1%
0.953
 
< 0.1%
0.961
 
< 0.1%
0.984
 
< 0.1%
ValueCountFrequency (%)
2.132
 
< 0.1%
2.125
< 0.1%
2.111
 
< 0.1%
2.13
< 0.1%
2.093
< 0.1%
2.082
 
< 0.1%
2.072
 
< 0.1%
2.061
 
< 0.1%
2.052
 
< 0.1%
2.043
< 0.1%

loss
Real number (ℝ≥0)

ZEROS

Distinct87
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80115
Minimum0
Maximum100
Zeros72703
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size625.1 KiB
2021-10-14T12:20:31.165107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.401957053
Coefficient of variation (CV)5.494547903
Kurtosis191.0288297
Mean0.80115
Median Absolute Deviation (MAD)0
Skewness11.63526837
Sum64092
Variance19.37722589
MonotonicityNot monotonic
2021-10-14T12:20:31.263196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
072703
90.9%
2982
 
1.2%
1837
 
1.0%
3800
 
1.0%
4769
 
1.0%
5509
 
0.6%
6422
 
0.5%
7414
 
0.5%
8363
 
0.5%
10239
 
0.3%
Other values (77)1962
 
2.5%
ValueCountFrequency (%)
072703
90.9%
1837
 
1.0%
2982
 
1.2%
3800
 
1.0%
4769
 
1.0%
5509
 
0.6%
6422
 
0.5%
7414
 
0.5%
8363
 
0.5%
9224
 
0.3%
ValueCountFrequency (%)
10029
< 0.1%
991
 
< 0.1%
951
 
< 0.1%
943
 
< 0.1%
921
 
< 0.1%
903
 
< 0.1%
895
 
< 0.1%
851
 
< 0.1%
844
 
< 0.1%
831
 
< 0.1%

Correlations

2021-10-14T12:20:31.470384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.